diff --git a/.env b/.env index 9a565ee20..8694cf5c8 100644 --- a/.env +++ b/.env @@ -12,6 +12,7 @@ API_RASTER_ENDPOINT='https://staging-raster.delta-backend.com' # Endpoint for the STAC server. No trailing slash. API_STAC_ENDPOINT='https://staging-stac.delta-backend.com' +API_XARRAY_ENDPOINT='https://prod-titiler-xarray.delta-backend.com/tilejson.json' MAPBOX_STYLE_URL='mapbox://styles/covid-nasa/ckb01h6f10bn81iqg98ne0i2y' diff --git a/.github/workflows/deploy-prod.yml b/.github/workflows/deploy-prod.yml index d28b8a644..171c5f122 100644 --- a/.github/workflows/deploy-prod.yml +++ b/.github/workflows/deploy-prod.yml @@ -110,7 +110,7 @@ jobs: - name: Deploy to S3 Production run: | - aws s3 sync ./deploy s3://${{ env.DEPLOY_BUCKET_PROD }} --delete + aws s3 sync ./deploy s3://${{ env.DEPLOY_BUCKET_PROD }} --cache-control max-age=604800 --delete - name: Invalidate CloudFront cache uses: oneyedev/aws-cloudfront-invalidation@v1 diff --git a/.veda/ui b/.veda/ui index 2d0acaaf8..1f6071f89 160000 --- a/.veda/ui +++ b/.veda/ui @@ -1 +1 @@ -Subproject commit 2d0acaaf8ec4cd1df0483ab3765c11acfa541c1d +Subproject commit 1f6071f895ed2e1e4064614ec6a9d8746900cba8 diff --git a/datasets/CMIP-winter-median-pr.data.mdx b/datasets/CMIP-winter-median-pr.data.mdx index c17cc78ba..f33f41b99 100644 --- a/datasets/CMIP-winter-median-pr.data.mdx +++ b/datasets/CMIP-winter-median-pr.data.mdx @@ -31,7 +31,7 @@ layers: layerId: CMIP245-winter-median-pr mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: type: gradient @@ -66,7 +66,7 @@ layers: layerId: CMIP585-winter-median-pr mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: type: gradient diff --git a/datasets/CMIP-winter-median-ta.data.mdx b/datasets/CMIP-winter-median-ta.data.mdx index 6038546af..63dee81e7 100644 --- a/datasets/CMIP-winter-median-ta.data.mdx +++ b/datasets/CMIP-winter-median-ta.data.mdx @@ -30,7 +30,7 @@ layers: layerId: CMIP245-winter-median-ta mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -66,7 +66,7 @@ layers: layerId: CMIP585-winter-median-ta mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: diff --git a/datasets/FLDAS-soilmoisture-anomalies.data.mdx b/datasets/FLDAS-soilmoisture-anomalies.data.mdx new file mode 100644 index 000000000..870a4850f --- /dev/null +++ b/datasets/FLDAS-soilmoisture-anomalies.data.mdx @@ -0,0 +1,92 @@ +--- +id: fldas-soil-moisture-anomalies +name: "FLDAS Surface Soil Moisture Anomalies" +description: "A 10 km global data product with 40 years of monthly soil moisture anomalies for food and water security monitoring from the Famine Early Warning System Network (FEWS NET) Land Data Assimilation System" +media: + src: ::file ./FLDAS_Dataset_Cover.jpg + alt: Landscape in Gondar, Ethiopia + author: + name: Amy McNally +taxonomy: + - name: Topics + values: + - Agriculture + - name: Source + values: + - NASA GES DISC +layers: + - id: SoilMoi00_10cm_tavg + stacCol: fldas-soil-moisture-anomalies + name: FLDAS Surface Soil Moisture Anomalies + type: raster + description: "Surface soil moisture 0-10cm anomaly" + zoomExtent: + - 0 + - 14 + sourceParams: + colormap_name: rdbu + rescale: -0.3, 0.3 + resampling: bilinear + bidx: 1 + nodata: -9999 + compare: + datasetId: fldas-soil-moisture-anomalies + layerId: SoilMoi00_10cm_tavg + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + } + legend: + unit: + label: kg mm3/mm3 + type: gradient + min: "-0.3" + max: "0.3" + stops: + - "#67001f" + - "#d6604d" + - "#fddbc7" + - "#d1e5f0" + - "#4393c3" + - "#053061" +--- + + + +FLDAS is the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System. The goal of FLDAS is to use observational and forecast datasets and advanced modeling methods to generate high quality fields of land surface states and fluxes used for FEWS NET decision support. The FLDAS systems are custom instances of the NASA Land Information System (LIS) that have been adapted to work with the domains, data streams, and monitoring and forecast requirements associated with food security assessment in data-sparse, developing countries. Surface soil moisture anomalies are an indicator of wet and dry extremes that have the potential to impact agricultural and food security outcomes. + +- **Temporal Extent:** January 1982 - June 2023 +- **Temporal Resolution:** Monthly +- **Spatial Extent:** Quasi-Global ( -180.0,-60.0,180.0,90.0) +- **Spatial Resolution:** 10 km x 10 km +- **Data Units:** Fraction Soil moisture anomaly (mm3/mm3) difference from 1982-2016 monthly mean +- **Data Type:** Research +- **Data Latency:** Monthly + +**Scientific Details:** +The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) contains a series of land surface parameters simulated from the Noah 3.6.1 model. The data are in 0.10 degree resolution and range from January 1982 to present. The temporal resolution is monthly and the spatial coverage is global (60S, 180W, 90N, 180E). The simulation was forced by a combination of the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) data and Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) daily rainfall data that has been temporally downscaled using the NASA Land Data Toolkit. The simulation was initialized on January 1, 1982 using soil moisture and other state fields from a FLDAS/Noah model climatology for that day of the year. Soil moisture anomalies are computed based on monthly averages from 1982-2016. + + + + + +## Source Data Product Citation +Amy McNally, NASA/GSFC/HSL (2018), FLDAS Noah Land Surface Model L4 Global Monthly Anomaly 0.1 x 0.1 degree (MERRA-2 and CHIRPS), Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [Data Access Date], [10.5067/GNKZZBAYDF4W](https://doi.org/10.5067/GNKZZBAYDF4W) + +## Dataset Accuracy +This dataset uses CHIRPS precipitation inputs and MERRA-2 reanalysis. While regional, relative, comparisons to remotely sensed estimates and other model products are favorable, users should verify that the data accuracy meets the requirements of their specific application, and interpret results accordingly. + +## Key Publications + +McNally, A., Arsenault, K., Kumar, S. et al. A land data assimilation system for sub-Saharan Africa food and water security applications. Sci Data 4, 170012 (2017). https://doi.org/10.1038/sdata.2017.12 + +## Acknowledgment + +We gratefully acknowledge the financial support from the NASA Earth Science Applications: Water Resources program award 13-WATER13-0010, and USAID FEWS NET and NASA Participating Agency Program Agreement and NASA Harvest. Computing was supported by the resources at the NASA Center for Climate Simulation (NCCS). Distribution of data from the Goddard Earth Sciences Data and Information Services Center (GES DISC) is funded by NASA's Science Mission Directorate (SMD). + +## License + +[Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) (CC BY 4.0). + + + diff --git a/datasets/FLDAS_Dataset_Cover.jpg b/datasets/FLDAS_Dataset_Cover.jpg new file mode 100644 index 000000000..8249e04b5 Binary files /dev/null and b/datasets/FLDAS_Dataset_Cover.jpg differ diff --git a/datasets/aerosol-difference.data.mdx b/datasets/aerosol-difference.data.mdx new file mode 100644 index 000000000..ab54f0f31 --- /dev/null +++ b/datasets/aerosol-difference.data.mdx @@ -0,0 +1,64 @@ +--- +id: houston-aod-diff +name: "Houston Aerosol Optical Depth Difference Over 20 Years" +description: "The impact of Aerosol over the Houston-metro and the Difference Over 20 Years" +media: + src: ::file ./smog-city.png + alt: Smog Located In City. + author: + name: Nick van den Berg + url: https://unsplash.com/photos/2vb-_3t6YCM +taxonomy: + - name: Topics + values: + - Air Quality +layers: + - id: houston-aod-diff + stacCol: houston-aod-diff + name: AOD Difference (2010-2019) - (2000-2009) + type: raster + description: "This figure shows the difference in AOD in the form of a raster when subtracting the two decades from the original AOD Dataset" + initialDatetime: newest + zoomExtent: + - 0 + - 20 + sourceParams: + colormap_name: bwr + rescale: + - -0.1 + - 0.1 + nodata: 0 + compare: + datasetId: houston-urbanization + layerId: houston-urbanization + mapLabel: | + ::js ({dateFns, datetime, compareDatetime}) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } + legend: + type: gradient + min: "-0.1" + max: "0.1" + stops: + - "#4575b4" + - "#91bfdb" + - "#e0f3f8" + - "#ffffff" + - "#fee090" + - "#fc8d59" + - "#d73027" + + + +--- + + + + + Refer to the "houston-aod" dataset for more information on how AOD Difference is derived. This dataset comes from the two decadal COGs that displayed mean Aerosol Optical Depth for 2000-2009 and for 2010-2019. Those tiffs were subtracted to display the differences between the two decades. + + + + + + diff --git a/datasets/bangladesh-landcover-2001-2020.data.mdx b/datasets/bangladesh-landcover-2001-2020.data.mdx index 03f378b42..b4a92a63b 100644 --- a/datasets/bangladesh-landcover-2001-2020.data.mdx +++ b/datasets/bangladesh-landcover-2001-2020.data.mdx @@ -44,7 +44,7 @@ layers: layerId: bangladesh-landcover-2001-2020 mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; } --- diff --git a/datasets/cmip6-tas.data.mdx b/datasets/cmip6-tas.data.mdx new file mode 100644 index 000000000..857811a20 --- /dev/null +++ b/datasets/cmip6-tas.data.mdx @@ -0,0 +1,81 @@ +--- +id: combined_CMIP6_daily_GISS-E2-1-G_tas_kerchunk_DEMO +name: 'CMIP6 Daily GISS-E2-1-G Near-Surface Air Temperature (demo subset)' +featured: false +description: "Daily near-surface air temperature from the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) Project." +media: + src: ::file ./cmip6-tas.png + alt: CMIP6 Near-Surface Air Temperature Screenshot + author: + name: NASA + url: +taxonomy: + - name: Topics + values: + - Climate +layers: + - id: combined_CMIP6_daily_GISS-E2-1-G_tas_kerchunk_DEMO + stacCol: combined_CMIP6_daily_GISS-E2-1-G_tas_kerchunk_DEMO + name: CMIP6 Daily GISS-E2-1-G Near-Surface Air Temperature (demo subset) + type: zarr + description: "Historical (1950-2014) daily-mean near-surface (usually, 2 meter) air temperature in Kelvin." + zoomExtent: + - 0 + - 20 + sourceParams: + reference: "true" + resampling_method: bilinear + variable: tas + colormap_name: coolwarm + rescale: 232,312 + maxzoom: 12 + legend: + unit: + label: K + type: gradient + min: 232 + max: 312 + stops: + - '#3b4cc0' + - '#7b9ff9' + - '#c0d4f5' + - '#f2cbb7' + - '#ee8468' + - '#b40426' +--- + + + +# NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) + +The NEX-GDDP-CMIP6 dataset provide a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions. + +NEX-GDDP-CMIP6 is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across all four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed through the Earth System Grid Federation. + +### Summary + +* Format: [kerchunk (metadata)](https://fsspec.github.io/kerchunk/) for netCDF4 +* Spatial Coverage: 180° W to 180° E, 60° S to 90° N +* Temporal: 1950-01-01 to 1951-12-31 + * _As noted below, this dataset is a subset all available data. The full dataset includes data from 1950 to 2100._ +* Data Resolution: + * Latitude Resolution: 0.25 degrees (25 km) + * Longitude Resolution: 0.25 degrees (25 km) + * Temporal Resolution: daily + +Source: [https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6](https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6) + +## AWS Public Dataset + +There are 2 datasets listed on the AWS Registry of Open Data for [NEX-GDDP-CMIP6](https://registry.opendata.aws/nex-gddp-cmip6/). First, there is an archive of NetCDF files from about 35 different climate models, each supplying historical and predicted values for up to 9 environment variables, daily, from 1950 to 2100. Second, there is an archive of COGs generated from the corresponding NetCDFs to support visualization via dynamic tiling using COGs. COGs are only available for 2 models. The COG archive also includes monthly aggregatations across those models. + +## Dataset Preparation + +### This dataset represents a subset of NEX-GDDP-CMIP6 + +VEDA is hosting a single JSON file which references a subset of the NEX-GDDP-CMIP6 data in NetCDF. We used the [kerchunk](https://fsspec.github.io/kerchunk/) python library to create a JSON file - often called a reference file - which is an index of the chunks of the data stored in the original [NetCDF](https://www.unidata.ucar.edu/software/netcdf/) files. This can be considered a "virtual" Zarr dataset. The virtual Zarr dataset (aka the kerchunk reference file) is used by a dynamic tiling library ([titiler-xarray](https://github.com/developmentseed/titiler-xarray)) to create image tiles from the underlying data. The indexes were generated for the near-surface air temperature variable (TAS) for years 1950-2014, the historical extent of the NEX-GDDP-CMIP6 project. + +We are using these methods to demonstrate a method for visualizing a "virtual" Zarr dataset which allows for dynamic visualization without having to create and maintain any additional copies of data. + + + diff --git a/datasets/cmip6-tas.png b/datasets/cmip6-tas.png new file mode 100644 index 000000000..d9d286d60 Binary files /dev/null and b/datasets/cmip6-tas.png differ diff --git a/datasets/co2.data.mdx b/datasets/co2.data.mdx index 903211aca..bf6711eb9 100644 --- a/datasets/co2.data.mdx +++ b/datasets/co2.data.mdx @@ -33,7 +33,7 @@ layers: layerId: co2-mean mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; } legend: type: gradient diff --git a/datasets/disalexi-etsuppression.data.mdx b/datasets/disalexi-etsuppression.data.mdx index 0e0edc0fa..f71b6198d 100644 --- a/datasets/disalexi-etsuppression.data.mdx +++ b/datasets/disalexi-etsuppression.data.mdx @@ -32,7 +32,7 @@ layers: layerId: mtbs-burn-severity mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `ET Anomalies: ${dateFns.format(datetime, 'yyyy')} VS MTBS: ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `ET Anomalies: ${dateFns.format(datetime, 'yyyy')} VS MTBS: ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/frp-max-thomasfire.data.mdx b/datasets/frp-max-thomasfire.data.mdx index ac007ffc7..40c93fdb7 100644 --- a/datasets/frp-max-thomasfire.data.mdx +++ b/datasets/frp-max-thomasfire.data.mdx @@ -33,7 +33,7 @@ layers: layerId: barc-thomasfire mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `FRP: ${dateFns.format(datetime, 'yyyy')} VS BARC: ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `FRP: ${dateFns.format(datetime, 'yyyy')} VS BARC: ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/global-reanalysis-da.data.mdx b/datasets/global-reanalysis-da.data.mdx index 3d27ff716..3a4182551 100644 --- a/datasets/global-reanalysis-da.data.mdx +++ b/datasets/global-reanalysis-da.data.mdx @@ -34,7 +34,7 @@ layers: layerId: lis-global-da-evap mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -70,7 +70,7 @@ layers: layerId: lis-global-da-gpp mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -106,7 +106,7 @@ layers: layerId: lis-global-da-gws mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -142,7 +142,7 @@ layers: layerId: lis-global-da-swe mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -179,7 +179,7 @@ layers: layerId: lis-global-da-streamflow mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -215,7 +215,7 @@ layers: layerId: lis-global-da-qs mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -251,7 +251,7 @@ layers: layerId: lis-global-da-qsb mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -287,7 +287,7 @@ layers: layerId: lis-global-da-tws mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -323,7 +323,7 @@ layers: layerId: lis-global-da-totalprecip mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: diff --git a/datasets/lis-etsuppression.data.mdx b/datasets/lis-etsuppression.data.mdx index 15d3a600d..6b8990943 100644 --- a/datasets/lis-etsuppression.data.mdx +++ b/datasets/lis-etsuppression.data.mdx @@ -32,7 +32,7 @@ layers: layerId: mtbs-burn-severity mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `ET Anomalies: ${dateFns.format(datetime, 'yyyy')} VS MTBS: ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `ET Anomalies: ${dateFns.format(datetime, 'yyyy')} VS MTBS: ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/lis-tvegsuppression.data.mdx b/datasets/lis-tvegsuppression.data.mdx index 974c74e54..3f9b6a388 100644 --- a/datasets/lis-tvegsuppression.data.mdx +++ b/datasets/lis-tvegsuppression.data.mdx @@ -32,7 +32,7 @@ layers: layerId: mtbs-burn-severity mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `Transpiration Anomalies: ${dateFns.format(datetime, 'yyyy')} VS MTBS: ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `Transpiration Anomalies: ${dateFns.format(datetime, 'yyyy')} VS MTBS: ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/lis.da.trend.data.mdx b/datasets/lis.da.trend.data.mdx index 98f4c6988..0f39bdd58 100644 --- a/datasets/lis.da.trend.data.mdx +++ b/datasets/lis.da.trend.data.mdx @@ -33,7 +33,7 @@ layers: layerId: lis-global-da-gpp-trend mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `TWS trend (2003-2021) VS GPP trend (2003-2021)`; + if (dateFns && datetime && compareDatetime) return `TWS trend (2003-2021) VS GPP trend (2003-2021)`; } legend: unit: diff --git a/datasets/modis-aerosol-dataset.data.mdx b/datasets/modis-aerosol-dataset.data.mdx new file mode 100644 index 000000000..008098964 --- /dev/null +++ b/datasets/modis-aerosol-dataset.data.mdx @@ -0,0 +1,101 @@ +--- +id: houston-aod +name: "MODIS MCD19A2 Product" +description: "Using MODIS MCD19A2 to Analyze impacts of Aerosols in Urban Areas" +media: + src: ::file ./smog-city.png + alt: Smog Located In City. + author: + name: Nick van den Berg + url: https://unsplash.com/photos/2vb-_3t6YCM +taxonomy: + - name: Topics + values: + - Air Quality +layers: + - id: houston-aod + stacCol: houston-aod + name: Mean AOD + type: raster + description: "The average Aerosol Optical Depth in our atmosphere. Note that these are unitless values." + initialDatetime: newest + zoomExtent: + - 0 + - 20 + sourceParams: + colormap_name: rdylbu_r + rescale: + - 0.1 + - 0.311 + nodata: 0 + legend: + type: gradient + min: "0" + max: "0.311" + stops: + - "#4575b4" + - "#91bfdb" + - "#e0f3f8" + - "#ffffbf" + - "#fee090" + - "#fc8d59" + - "#d73027" + compare: + datasetId: houston-aod + layerId: houston-aod +--- + + + + + ### About + + The MCD19A2 product represents a dataset that offers insights into aerosol optical thickness over land surfaces, grounded in the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm. Originating from both the Terra and Aqua MODIS satellites, this dataset is remarkable for its fusion of information from multiple satellite platforms. Generated daily, the data has a high spatial resolution of 1 km per pixel, allowing detailed observiations. + + The primary purpose of the MCD19A2 product is to provide a comprehensive set of atmospheric and geometric properties or parameters. These parameters are integral in producing the land surface Bidirectional Reflectance Factor, another important component derived usiung the MAIAC algorithm. + + ### Grid500m Group: + + This segment captures details primarily about aerosol concentrations and characteristics at a 500m resolution. It encompasses: + * Aerosol Optical Depth (AOD) at 047 micron and 055 micron, which measures the degree to which aerosol particles prevent the transmission of light, giving an insight into air quality. + + * Uncertainty metrics for AOD at 047 micron to gauge the precision of measurements. + + * Fine-Mode Fraction for Ocean, indicating the proportion of small particles in aerosols over the ocean. + + * The Column Water Vapor in cm liquid water, offering details about atmospheric moisture. + + * AOD QA provides quality assurance metrics. + + * AOD Model shows the regional background model applied. + + * Injection Height provides data on the elevation of smoke introduction over the local surface height. + + ### Grid5km Group: + + This focuses on geometric and solar parameters at a 5km resolution. + + * Cosine of Solar Zenith Angle and View Zenith Angle, which provide information on the solar and observational angles respectively, crucial for understanding light reflection and absorption dynamics. + + * The Relative Azimuth Angle gives the position between the sun and the observing satellite. + + * The Relative Azimuth Angle gives the position between the sun and the observing satellite. + + ### Citing the Data + + Alexi Lyapustin - NASA GSFC, Yujie Wang - Univeristy of Maryland Baltimore County and MODAPS SIPS - NASA. (2015). MCD19A2 MODIS/Terra+Aqua Aerosol Optical Thickness Daily L2G Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MCD19A2.006 + + ### Accessing the Data + + Google Earth Engine (GEE) provides an efficient way to harness the capabilities of the MODIS MCD19A2 dataset. + + 1. Initialize Google Earth Engine: Before you can access any datasets on GEE, ensure you've signed up for a Google Earth Engine account and initialized the GEE API in your programming environment. + + 2. Search for the Dataset: Navigate to the Google Earth Engine Data Catalog. In the search bar, type "MCD19A2" to locate the Multi-Angle Implementation of Atmospheric Correction (MAIAC) dataset. + + 4. Scripting in GEE Code Editor: Open the GEE Code Editor and use the Correct Dataset ID. In this case, use "MODIS/006/MCD19A2/Optical_Depth_047" + + + + + diff --git a/datasets/mtbs-burn-severity.data.mdx b/datasets/mtbs-burn-severity.data.mdx index bbcb590de..58b95bf62 100644 --- a/datasets/mtbs-burn-severity.data.mdx +++ b/datasets/mtbs-burn-severity.data.mdx @@ -31,7 +31,7 @@ layers: layerId: mtbs-burn-severity mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: categorical diff --git a/datasets/nighttime-lights.data.mdx b/datasets/nighttime-lights.data.mdx index 3396f98f1..b820b1dec 100644 --- a/datasets/nighttime-lights.data.mdx +++ b/datasets/nighttime-lights.data.mdx @@ -32,7 +32,7 @@ layers: layerId: nightlights-hd-monthly mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; } legend: type: gradient diff --git a/datasets/nlcd-urbanization.data.mdx b/datasets/nlcd-urbanization.data.mdx new file mode 100644 index 000000000..d2ea062ca --- /dev/null +++ b/datasets/nlcd-urbanization.data.mdx @@ -0,0 +1,90 @@ +--- +id: houston-urbanization +name: "National Land Cover Database" +description: "Using the National Land Cover Database (NLCD) to illustrate urbanzation in Houston, TX over a 20-year span." +media: + src: ::file ./smog-city.png + alt: Smog Located In City. + author: + name: Galen Crout + url: https://unsplash.com/photos/y8mIhkw7ZUI +taxonomy: + - name: Topics + values: + - EIS +layers: + - id: houston-urbanization + stacCol: houston-urbanization + name: Urbanization + type: raster + description: "This dataset illustrates the growth in the metropolitan area of Houston, TX from 2000-2019. Note that these values are from 0 to 1." + initialDatetime: newest + zoomExtent: + - 0 + - 20 + sourceParams: + colormap_name: reds + nodata: 0 + rescale: + - 0 + - 1 + legend: + type: categorical + stops: + - color: "#ffffff" + label: No Data + - color: "#d73027" + label: Urbanization + + +--- + + + + + ### About + + The National Land Cover Database (NLCD) stands as a paramount dataset offering an in-depth overview of the land cover characteristics in the United States. Spearheaded by the Earth Resources Observation and Science (EROS) Center, this database is renewed every two to three years to provide updated and accurate data for the nation. + + This is a collective effort between the U.S. Geological Survey (USGS) and the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC, composed of various federal agencies, has a rich legacy spanning over 30 years of generating consistent and pertinent land cover information on a national scale. The NLCD is a testament to their dedication and has emerged as one of the most frequently utilized geospatial datasets within the U.S., catering to an extensive audience ranging from scientists, land managers, city planners, to students. + + As of its latest release, the NLCD showcases land cover data and related changes across nine specific epochs, starting from 2001 and culminating in 2021. These datasets are meticulously crafted, ensuring continuity and consistency with the past releases (from 2001-2019). This methodological consistency ensures that the datasets from the different epochs are directly comparable and well-suited for mult-temporal analyses. + + ### What NLCD Offers + + * Land Cover: This product details the land cover of the Conterminous U.S. at a 30-meter spatial resolution, employing a 16-class legend rooted in the modified Anderson Level II classification system. + + * Land Cover Change Index: This visualization tool portrays the transformations that have transpired across all the NLCD epochs, furnishing users with a holistic view of the evolving landscape. + + * Urban Imperviousness: A crucial dataset for urbanization studies, it highlights impervious surfaces in urban regions, showcasing them as a percentage of the developed surface at every 30-meter pixel. + + * Urban Impervious Descriptor: A more nuanced product that classifies specific urban developments, such as roads, wind tower sites, building locations, and energy production sites. This aids in a more granular analysis of urban features. + + ### Access the Data + + Visit the [Acess Data](https://www.mrlc.gov/data) page to explore all of the options that NLCD offers. + + ### Citing this Dataset + + U.S. Geological Survey (USGS) & Multi-Resolution Land Characteristics (MRLC) Consortium. (2021). National Land Cover Database (NLCD) 2021: Conterminous U.S. Land Cover. Earth Resources Observation and Science (EROS) Center. Retrieved from https://www.mrlc.gov/data + + ### Publications + + * Danielson, Patrick, Postma, Kory, Riegle, J., Dewitz, Jon A., Deep learning artificial intelligence (AI) for improving classification accuracy for the National Land Cover Database (NLCD) [abs.] + + * Wickham, J., Stehman, S.V., Sorenson, D.G., Gass, L., Dewitz, Jon A., Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States: Remote Sensing of Environment, v. 257, at https://doi.org/10.1016/j.rse.2021.112357 + + * Rigge, Matthew B., Shi, Hua, Postma, Kory, Projected change in rangeland fractional component cover across the sagebrush biome under climate change through 2085, v. 12, no. 6, at https://doi.org/10.1002/ecs2.3538 + + * Rigge, Matthew B., Homer, Collin G., Shi, Hua, Meyer, Debbie K., Bunde, Brett, Granneman, Brian, Postma, Kory, Danielson, Patrick, Case, Adam, Xian, George Z., Rangeland fractional components across the western United States from 1985 to 2018: Remote Sensing, v. 13, no. 4, at https://doi.org/10.3390/rs13040813 + + * Peng, D., Wang, Y. L., Xian, George, Huete, A.R., Huang, W., Shen, M., Wang, F., Yu, L., Liu, L., Xie, Q., Liu, L., Zhang, X., Investigation of land surface phenology detections in shrublands using multiple scale satellite data: Remote Sensing of Environment, v. 252, at https://doi.org/10.1016/j.rse.2020.112133 + + * Rigge, Matthew B., Shi, Hua, Meyer, Debbie K., Bunde, Brett, Postma, Kory, Trends of fractional rangeland components across a 1985-2020 time-series [poster], v. Measuring & Monitoring Ecosystems, at http://annualmeeting2021.rangelands.org/presentations-posters/ + + * Jin, Suming, Dewitz, Jon A., Sorenson, D., Shogib, Rakibul , Granneman, Brian J., Case, Adam, Li, Congcong, Zhe, Z., Danielson, Patrick, Costello, C., Gass, L., National Land Cover Database 2019—A comprehensive strategy for creating the 1986-2019 Forest Disturbance Date Product [abs.], v. Proceedings, at https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/960755 + + + + + diff --git a/datasets/no2.data.mdx b/datasets/no2.data.mdx index 5b0fd9eb0..71a5a4d84 100644 --- a/datasets/no2.data.mdx +++ b/datasets/no2.data.mdx @@ -43,7 +43,7 @@ layers: layerId: no2-monthly mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; } legend: type: gradient @@ -75,7 +75,7 @@ layers: layerId: no2-monthly-diff mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; } legend: type: gradient diff --git a/datasets/ps_blue_tarp_detections.ej.data.mdx b/datasets/ps_blue_tarp_detections.ej.data.mdx index 80df1f21f..15bf42b05 100644 --- a/datasets/ps_blue_tarp_detections.ej.data.mdx +++ b/datasets/ps_blue_tarp_detections.ej.data.mdx @@ -40,7 +40,7 @@ layers: layerId: blue-tarp-detection mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; } --- diff --git a/datasets/smog-city.png b/datasets/smog-city.png new file mode 100644 index 000000000..a9aa37780 Binary files /dev/null and b/datasets/smog-city.png differ diff --git a/datasets/snow-projections-diff.data.mdx b/datasets/snow-projections-diff.data.mdx index d25185265..ff86c62b5 100644 --- a/datasets/snow-projections-diff.data.mdx +++ b/datasets/snow-projections-diff.data.mdx @@ -31,7 +31,7 @@ layers: layerId: snow-projections-diff-scenario-245 mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: type: gradient @@ -63,7 +63,7 @@ layers: layerId: snow-projections-diff-scenario-585 mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: type: gradient diff --git a/datasets/snow-projections-median.data.mdx b/datasets/snow-projections-median.data.mdx index 6d0d6be85..7a32de071 100644 --- a/datasets/snow-projections-median.data.mdx +++ b/datasets/snow-projections-median.data.mdx @@ -30,7 +30,7 @@ layers: layerId: snow-projections-median-scenario-245 mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: @@ -63,7 +63,7 @@ layers: layerId: snow-projections-median-scenario-585 mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')}`; } legend: unit: diff --git a/datasets/so2.data.mdx b/datasets/so2.data.mdx index 2dd656d69..51d40103b 100644 --- a/datasets/so2.data.mdx +++ b/datasets/so2.data.mdx @@ -33,7 +33,7 @@ layers: layerId: OMSO2PCA-COG mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/sport-lis.data.mdx b/datasets/sport-lis.data.mdx index 352cb438a..9bf949d9a 100644 --- a/datasets/sport-lis.data.mdx +++ b/datasets/sport-lis.data.mdx @@ -45,7 +45,7 @@ layers: layerId: sport-lis-vsm0_100cm-percentile mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'MMM yyyy')} VS ${dateFns.format(compareDatetime, 'MMM yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'MMM yyyy')} VS ${dateFns.format(compareDatetime, 'MMM yyyy')}`; } --- diff --git a/datasets/svi_household.ej.data.mdx b/datasets/svi_household.ej.data.mdx index f2b47690a..0fe82da17 100644 --- a/datasets/svi_household.ej.data.mdx +++ b/datasets/svi_household.ej.data.mdx @@ -36,7 +36,7 @@ layers: layerId: social-vulnerability-index-household mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient @@ -69,7 +69,7 @@ layers: layerId: social-vulnerability-index-household-nopop mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/svi_housing.ej.data.mdx b/datasets/svi_housing.ej.data.mdx index cd2d83eca..8ae33bb5b 100644 --- a/datasets/svi_housing.ej.data.mdx +++ b/datasets/svi_housing.ej.data.mdx @@ -40,7 +40,7 @@ layers: layerId: social-vulnerability-index-housing mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient @@ -73,7 +73,7 @@ layers: layerId: social-vulnerability-index-housing-nopop mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/svi_minority.ej.data.mdx b/datasets/svi_minority.ej.data.mdx index 5a89fe2d4..5ab3dd35a 100644 --- a/datasets/svi_minority.ej.data.mdx +++ b/datasets/svi_minority.ej.data.mdx @@ -36,7 +36,7 @@ layers: layerId: social-vulnerability-index-minority mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/svi_socioeconomic.ej.data.mdx b/datasets/svi_socioeconomic.ej.data.mdx index 8140f5fda..0e429a907 100644 --- a/datasets/svi_socioeconomic.ej.data.mdx +++ b/datasets/svi_socioeconomic.ej.data.mdx @@ -69,7 +69,7 @@ layers: layerId: social-vulnerability-index-socioeconomic-nopop mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } legend: type: gradient diff --git a/datasets/twsanomaly.data.mdx b/datasets/twsanomaly.data.mdx index a18375f15..5d0ead4f1 100644 --- a/datasets/twsanomaly.data.mdx +++ b/datasets/twsanomaly.data.mdx @@ -33,7 +33,7 @@ layers: layerId: lis-tws-anomaly mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'DD LLL yyyy')} VS ${dateFns.format(compareDatetime, 'DD LLL yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'DD LLL yyyy')} VS ${dateFns.format(compareDatetime, 'DD LLL yyyy')}`; } legend: type: gradient diff --git a/datasets/urban-heating.data.mdx b/datasets/urban-heating.data.mdx index 09388b1f4..1c390f125 100644 --- a/datasets/urban-heating.data.mdx +++ b/datasets/urban-heating.data.mdx @@ -1,9 +1,7 @@ --- id: urban-heating -name: Urban Heating Dataset -description: Description for Urban Heating Dataset test -# thematics: -# - environmental-justice +name: Urban Heating +description: Urban Heating media: src: ::file ./urban-heat.jpg alt: Sunset over Tokyo @@ -42,7 +40,7 @@ layers: layerId: houston-ndvi mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } - sourceParams: resampling: bilinear @@ -75,7 +73,7 @@ layers: layerId: houston-lst-night mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } - sourceParams: resampling: bilinear @@ -108,7 +106,7 @@ layers: layerId: houston-lst-day mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } - sourceParams: resampling: bilinear @@ -181,7 +179,7 @@ layers: layerId: houston-landcover mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } - sourceParams: resampling: bilinear @@ -203,35 +201,31 @@ layers: layerId: social-vulnerability-index-socioeconomic mapLabel: | ::js ({ dateFns, datetime, compareDatetime }) => { - return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + if (dateFns && datetime && compareDatetime) return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; } --- - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras ut nisl nec quam dignissim vestibulum vitae sit amet augue. Vestibulum a diam vitae nisl interdum auctor eget vitae tortor. Nam a velit pretium neque consequat congue vitae sit amet ligula. Suspendisse potenti. Nunc ullamcorper neque et imperdiet hendrerit. Donec volutpat congue placerat. Nam feugiat pretium eleifend. Curabitur semper arcu augue, ut facilisis ipsum hendrerit nec. Sed semper elit ac eros eleifend suscipit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam vulputate ligula vitae tincidunt lacinia. Pellentesque finibus ante in nunc auctor ornare. - + + ## Introduction + + Urban heat islands (UHIs) are no longer mere academic concepts; they’re palpable urban challenges. In cities such as Houston in this case, understanding the dynamics of land surface temperature (LST) is not just about decoding satellite data, but comprehending its implications for urban planning, health, and socioeconomic dynamics. Leveraging data from NASA’s Terra MODIS (moderate Resolution Imaging Spectroradiometer) platform, we delve into Houston’s changing LST landscape over two decades, offering a technical perspective on this urban phenomenon. LST is the temperature of the earth’s surface derived from NASA’s Terra MODIS, encompassing both natural terrains and man-made infrastructures. Unlike ambient air temperature, which gauges the immediate atmospheric conditions we feel, LST provides a granular temperature profile of surfaces from park greens to asphalt roads. + - -
- - - Comparison of the housing and transportation score for Philadelphia, PA between 2016 and 2018. For this color scale, 0 corresponds to least vulnerable and 1 is most vulnerable. - -
+ - ## Lorem ipsum dolor sit amet + ## Data Acquisition - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras ut nisl nec quam dignissim vestibulum vitae sit amet augue. Vestibulum a diam vitae nisl interdum auctor eget vitae tortor. Nam a velit pretium neque consequat congue vitae sit amet ligula. Suspendisse potenti. Nunc ullamcorper neque et imperdiet hendrerit. Donec volutpat congue placerat. Nam feugiat pretium eleifend. Curabitur semper arcu augue, ut facilisis ipsum hendrerit nec. Sed semper elit ac eros eleifend suscipit. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam vulputate ligula vitae tincidunt lacinia. Pellentesque finibus ante in nunc auctor ornare. + Terra MODIS has been instrumental in capturing LST data. This platform, orbiting Earth, scans our planet in multiple spectral bands, allowing for a detailed analysis of LST values. The data periods 2000-20009 and 2010-2019 form this satellite have been particularly enlightening, revealing distinct shifts in Houston’s urban heat profile. + + Comparative analysis of LST data from the two decades indicate a tangible uptick in surface temperatures, especially in Houston’s southwestern regions. Urban expansion is likely culprit, with infrastructural growth leading to increased heat absorption and radiation. This phenomenon, known as the urban heat island effect, can intensify local temperatures, leading to a cascade of socio-environmental effects. + + + + + + ## Conclusion + + Houston’s LST data, meticulously captured by Terra MODIS, serves as a crucial pointer for urban planners, environmentalists, and policymakers. By understanding the nexus of urban heat, infrastructure, and socio-economics, we can shape urban features that are not only sustainable but also equitable. As Houston continues its urban journey, armed with this data, it has the potential to redefine urban resilience in the face of escalating heat challenges. diff --git a/package.json b/package.json index 95a66d309..8dc269f75 100644 --- a/package.json +++ b/package.json @@ -1,7 +1,7 @@ { "name": "veda-config", "description": "Configuration for Veda", - "version": "0.12.0", + "version": "0.13.0", "source": "./.veda/ui/app/index.html", "license": "Apache-2.0", "scripts": { @@ -33,4 +33,4 @@ ".*/meta/" ], "dependencies": {} -} \ No newline at end of file +} diff --git a/stories/Houston_IAH.csv b/stories/Houston_IAH.csv new file mode 100644 index 000000000..efac8a0fc --- /dev/null +++ b/stories/Houston_IAH.csv @@ -0,0 +1,479 @@ +Date,source,Mean AOD +2000-02,AOD,0.0749382716 +2000-03,AOD,0.09885395044 +2000-04,AOD,0.140177038 +2000-05,AOD,0.247854321 +2000-06,AOD,0.2226544345 +2000-07,AOD,0.181230821 +2000-08,AOD,0.3270071576 +2000-09,AOD,0.2466882951 +2000-10,AOD,0.1922305703 +2000-11,AOD,0.09635314432 +2000-12,AOD,0.06884762439 +2001-01,AOD,0.107819672 +2001-02,AOD,0.1279543504 +2001-03,AOD,0.1480405755 +2001-04,AOD,0.1936679894 +2001-05,AOD,0.1807261317 +2001-06,AOD,0.4597113821 +2001-07,AOD,0.246046262 +2001-08,AOD,0.2988124633 +2001-09,AOD,0.160116393 +2001-10,AOD,0.1093571975 +2001-11,AOD,0.148586165 +2001-12,AOD,0.08300413976 +2002-01,AOD,0.09389003264 +2002-02,AOD,0.09171415406 +2002-03,AOD,0.1239880071 +2002-04,AOD,0.3290156379 +2002-05,AOD,0.2100298354 +2002-06,AOD,0.3762634627 +2002-07,AOD,0.373225037 +2002-08,AOD,0.4184397214 +2002-09,AOD,0.3622530663 +2002-10,AOD,0.1571505613 +2002-11,AOD,0.1161351028 +2002-12,AOD,0.1132942716 +2003-01,AOD,0.1181077915 +2003-02,AOD,0.1220079312 +2003-03,AOD,0.1535752105 +2003-04,AOD,0.1920811134 +2003-05,AOD,0.306124059 +2003-06,AOD,0.2657790743 +2003-07,AOD,0.3219353123 +2003-08,AOD,0.3950165638 +2003-09,AOD,0.2400242202 +2003-10,AOD,0.1310804915 +2003-11,AOD,0.1311219108 +2003-12,AOD,0.09629745666 +2004-01,AOD,0.1078653597 +2004-02,AOD,0.1595555051 +2004-03,AOD,0.1223968581 +2004-04,AOD,0.1817953207 +2004-05,AOD,0.2044036652 +2004-06,AOD,0.2904497835 +2004-07,AOD,0.2509110449 +2004-08,AOD,0.2425615106 +2004-09,AOD,0.241352476 +2004-10,AOD,0.166438402 +2004-11,AOD,0.08827833125 +2004-12,AOD,0.08373974304 +2005-01,AOD,0.109797354 +2005-02,AOD,0.1438538801 +2005-03,AOD,0.1504854769 +2005-04,AOD,0.146484267 +2005-05,AOD,0.2730894341 +2005-06,AOD,0.3250978821 +2005-07,AOD,0.3031725185 +2005-08,AOD,0.3139822504 +2005-09,AOD,0.2829505153 +2005-10,AOD,0.1491870501 +2005-11,AOD,0.09498059081 +2005-12,AOD,0.1136385656 +2006-01,AOD,0.09514302105 +2006-02,AOD,0.1310771544 +2006-03,AOD,0.1946740193 +2006-04,AOD,0.2349099677 +2006-05,AOD,0.1876822552 +2006-06,AOD,0.3004446952 +2006-07,AOD,0.3732242166 +2006-08,AOD,0.2866627973 +2006-09,AOD,0.220884961 +2006-10,AOD,0.167610441 +2006-11,AOD,0.1066113318 +2006-12,AOD,0.08833760636 +2007-01,AOD,0.103570946 +2007-02,AOD,0.1096291234 +2007-03,AOD,0.1757880175 +2007-04,AOD,0.2122700529 +2007-05,AOD,0.3132280753 +2007-06,AOD,0.3132074074 +2007-07,AOD,0.3929408289 +2007-08,AOD,0.3791120266 +2007-09,AOD,0.2701053459 +2007-10,AOD,0.1255405041 +2007-11,AOD,0.2163276403 +2007-12,AOD,0.09388459538 +2008-01,AOD,0.09729213947 +2008-02,AOD,0.1256897145 +2008-03,AOD,0.1847683612 +2008-04,AOD,0.1658593473 +2008-05,AOD,0.2123267063 +2008-06,AOD,0.3376650206 +2008-07,AOD,0.222505269 +2008-08,AOD,0.3437440403 +2008-09,AOD,0.2166679099 +2008-10,AOD,0.1361160646 +2008-11,AOD,0.1273339023 +2008-12,AOD,0.07593195405 +2009-01,AOD,0.09258443712 +2009-02,AOD,0.1165621047 +2009-03,AOD,0.1870911257 +2009-04,AOD,0.1517593474 +2009-05,AOD,0.1776345062 +2009-06,AOD,0.2429736994 +2009-07,AOD,0.2949377486 +2009-08,AOD,0.3035087931 +2009-09,AOD,0.4854215706 +2009-10,AOD,0.1470756248 +2009-11,AOD,0.1177760503 +2009-12,AOD,0.07760978906 +2010-01,AOD,0.07731728854 +2010-02,AOD,0.1194940171 +2010-03,AOD,0.1707705374 +2010-04,AOD,0.1411230614 +2010-05,AOD,0.2273660235 +2010-06,AOD,0.3524801734 +2010-07,AOD,0.4124580468 +2010-08,AOD,0.2919369232 +2010-09,AOD,0.218658579 +2010-10,AOD,0.1285062558 +2010-11,AOD,0.1092000859 +2010-12,AOD,0.1313760229 +2011-01,AOD,0.1077780148 +2011-02,AOD,0.1057360755 +2011-03,AOD,0.1535565359 +2011-04,AOD,0.2100880264 +2011-05,AOD,0.2067877217 +2011-06,AOD,0.2844676748 +2011-07,AOD,0.3489834692 +2011-08,AOD,0.2810882927 +2011-09,AOD,0.2004764614 +2011-10,AOD,0.1416881753 +2011-11,AOD,0.1265053204 +2011-12,AOD,0.1616744441 +2012-01,AOD,0.09305693915 +2012-02,AOD,0.1977038703 +2012-03,AOD,0.1269739069 +2012-04,AOD,0.1734097988 +2012-05,AOD,0.2482920469 +2012-06,AOD,0.3274437918 +2012-07,AOD,0.3003345078 +2012-08,AOD,0.2950968917 +2012-09,AOD,0.2395259581 +2012-10,AOD,0.1721808555 +2012-11,AOD,0.1081425162 +2012-12,AOD,0.09977956041 +2013-01,AOD,0.1402649652 +2013-02,AOD,0.1286104975 +2013-03,AOD,0.1722108375 +2013-04,AOD,0.2143748986 +2013-05,AOD,0.2239315542 +2013-06,AOD,0.2896725696 +2013-07,AOD,0.3253126035 +2013-08,AOD,0.3376734002 +2013-09,AOD,0.2583859515 +2013-10,AOD,0.152979671 +2013-11,AOD,0.1287853807 +2013-12,AOD,0.08025145265 +2014-01,AOD,0.07752041552 +2014-02,AOD,0.1843316187 +2014-03,AOD,0.1873703796 +2014-04,AOD,0.1729012519 +2014-05,AOD,0.167009379 +2014-06,AOD,0.2704852239 +2014-07,AOD,0.3412930157 +2014-08,AOD,0.3342976007 +2014-09,AOD,0.2996232388 +2014-10,AOD,0.1433524524 +2014-11,AOD,0.09959181821 +2014-12,AOD,0.1160467332 +2015-01,AOD,0.08940440511 +2015-02,AOD,0.149970226 +2015-03,AOD,0.1736594638 +2015-04,AOD,0.2204265085 +2015-05,AOD,0.2182746914 +2015-06,AOD,0.3131746473 +2015-07,AOD,0.2786423508 +2015-08,AOD,0.2498927316 +2015-09,AOD,0.2238055901 +2015-10,AOD,0.1308974015 +2015-11,AOD,0.1043513193 +2015-12,AOD,0.11884394 +2016-01,AOD,0.09210476102 +2016-02,AOD,0.1198206551 +2016-03,AOD,0.1738961533 +2016-04,AOD,0.183535122 +2016-05,AOD,0.193123342 +2016-06,AOD,0.3113047316 +2016-07,AOD,0.3714862904 +2016-08,AOD,0.2627547922 +2016-09,AOD,0.2422447788 +2016-10,AOD,0.157308676 +2016-11,AOD,0.1180115416 +2016-12,AOD,0.1359900883 +2017-01,AOD,0.08941216804 +2017-02,AOD,0.1450606754 +2017-03,AOD,0.1828462932 +2017-04,AOD,0.1384908443 +2017-05,AOD,0.1601177389 +2017-06,AOD,0.2761595826 +2017-07,AOD,0.353806691 +2017-08,AOD,0.2738136123 +2017-09,AOD,0.3047581541 +2017-10,AOD,0.159560459 +2017-11,AOD,0.1381969369 +2017-12,AOD,0.09525914792 +2018-01,AOD,0.1140751655 +2018-02,AOD,0.317979798 +2018-03,AOD,0.1652755964 +2018-04,AOD,0.1830604239 +2018-05,AOD,0.216627207 +2018-06,AOD,0.3366394385 +2018-07,AOD,0.333890207 +2018-08,AOD,0.335405234 +2018-09,AOD,0.2389157113 +2018-10,AOD,0.1462139648 +2018-11,AOD,0.1243383063 +2018-12,AOD,0.08559833143 +2019-01,AOD,0.1149739507 +2019-02,AOD,0.1740729277 +2019-03,AOD,0.1112787422 +2019-04,AOD,0.142079873 +2019-05,AOD,0.2165814111 +2019-06,AOD,0.214809422 +2019-07,AOD,0.2599688909 +2019-08,AOD,0.3524342348 +2019-09,AOD,0.2684117569 +2019-10,AOD,0.1779706625 +2019-11,AOD,0.119267697 +2019-12,AOD,0.08434844117 +2000-02,Trendline,0.2 +2000-03,Trendline,0.2000062916 +2000-04,Trendline,0.2000125832 +2000-05,Trendline,0.2000188747 +2000-06,Trendline,0.2000251663 +2000-07,Trendline,0.2000314579 +2000-08,Trendline,0.2000377495 +2000-09,Trendline,0.200044041 +2000-10,Trendline,0.2000503326 +2000-11,Trendline,0.2000566242 +2000-12,Trendline,0.2000629158 +2001-01,Trendline,0.2000692073 +2001-02,Trendline,0.2000754989 +2001-03,Trendline,0.2000817905 +2001-04,Trendline,0.2000880821 +2001-05,Trendline,0.2000943736 +2001-06,Trendline,0.2001006652 +2001-07,Trendline,0.2001069568 +2001-08,Trendline,0.2001132484 +2001-09,Trendline,0.2001195399 +2001-10,Trendline,0.2001258315 +2001-11,Trendline,0.2001321231 +2001-12,Trendline,0.2001384147 +2002-01,Trendline,0.2001447062 +2002-02,Trendline,0.2001509978 +2002-03,Trendline,0.2001572894 +2002-04,Trendline,0.200163581 +2002-05,Trendline,0.2001698725 +2002-06,Trendline,0.2001761641 +2002-07,Trendline,0.2001824557 +2002-08,Trendline,0.2001887473 +2002-09,Trendline,0.2001950388 +2002-10,Trendline,0.2002013304 +2002-11,Trendline,0.200207622 +2002-12,Trendline,0.2002139136 +2003-01,Trendline,0.2002202051 +2003-02,Trendline,0.2002264967 +2003-03,Trendline,0.2002327883 +2003-04,Trendline,0.2002390799 +2003-05,Trendline,0.2002453714 +2003-06,Trendline,0.200251663 +2003-07,Trendline,0.2002579546 +2003-08,Trendline,0.2002642462 +2003-09,Trendline,0.2002705377 +2003-10,Trendline,0.2002768293 +2003-11,Trendline,0.2002831209 +2003-12,Trendline,0.2002894125 +2004-01,Trendline,0.200295704 +2004-02,Trendline,0.2003019956 +2004-03,Trendline,0.2003082872 +2004-04,Trendline,0.2003145788 +2004-05,Trendline,0.2003208703 +2004-06,Trendline,0.2003271619 +2004-07,Trendline,0.2003334535 +2004-08,Trendline,0.2003397451 +2004-09,Trendline,0.2003460366 +2004-10,Trendline,0.2003523282 +2004-11,Trendline,0.2003586198 +2004-12,Trendline,0.2003649114 +2005-01,Trendline,0.2003712029 +2005-02,Trendline,0.2003774945 +2005-03,Trendline,0.2003837861 +2005-04,Trendline,0.2003900777 +2005-05,Trendline,0.2003963692 +2005-06,Trendline,0.2004026608 +2005-07,Trendline,0.2004089524 +2005-08,Trendline,0.200415244 +2005-09,Trendline,0.2004215355 +2005-10,Trendline,0.2004278271 +2005-11,Trendline,0.2004341187 +2005-12,Trendline,0.2004404103 +2006-01,Trendline,0.2004467018 +2006-02,Trendline,0.2004529934 +2006-03,Trendline,0.200459285 +2006-04,Trendline,0.2004655766 +2006-05,Trendline,0.2004718681 +2006-06,Trendline,0.2004781597 +2006-07,Trendline,0.2004844513 +2006-08,Trendline,0.2004907429 +2006-09,Trendline,0.2004970344 +2006-10,Trendline,0.200503326 +2006-11,Trendline,0.2005096176 +2006-12,Trendline,0.2005159092 +2007-01,Trendline,0.2005222007 +2007-02,Trendline,0.2005284923 +2007-03,Trendline,0.2005347839 +2007-04,Trendline,0.2005410755 +2007-05,Trendline,0.200547367 +2007-06,Trendline,0.2005536586 +2007-07,Trendline,0.2005599502 +2007-08,Trendline,0.2005662418 +2007-09,Trendline,0.2005725333 +2007-10,Trendline,0.2005788249 +2007-11,Trendline,0.2005851165 +2007-12,Trendline,0.2005914081 +2008-01,Trendline,0.2005976996 +2008-02,Trendline,0.2006039912 +2008-03,Trendline,0.2006102828 +2008-04,Trendline,0.2006165744 +2008-05,Trendline,0.2006228659 +2008-06,Trendline,0.2006291575 +2008-07,Trendline,0.2006354491 +2008-08,Trendline,0.2006417407 +2008-09,Trendline,0.2006480322 +2008-10,Trendline,0.2006543238 +2008-11,Trendline,0.2006606154 +2008-12,Trendline,0.200666907 +2009-01,Trendline,0.2006731985 +2009-02,Trendline,0.2006794901 +2009-03,Trendline,0.2006857817 +2009-04,Trendline,0.2006920733 +2009-05,Trendline,0.2006983648 +2009-06,Trendline,0.2007046564 +2009-07,Trendline,0.200710948 +2009-08,Trendline,0.2007172396 +2009-09,Trendline,0.2007235311 +2009-10,Trendline,0.2007298227 +2009-11,Trendline,0.2007361143 +2009-12,Trendline,0.2007424059 +2010-01,Trendline,0.2007486974 +2010-02,Trendline,0.200754989 +2010-03,Trendline,0.2007612806 +2010-04,Trendline,0.2007675722 +2010-05,Trendline,0.2007738637 +2010-06,Trendline,0.2007801553 +2010-07,Trendline,0.2007864469 +2010-08,Trendline,0.2007927385 +2010-09,Trendline,0.20079903 +2010-10,Trendline,0.2008053216 +2010-11,Trendline,0.2008116132 +2010-12,Trendline,0.2008179048 +2011-01,Trendline,0.2008241963 +2011-02,Trendline,0.2008304879 +2011-03,Trendline,0.2008367795 +2011-04,Trendline,0.2008430711 +2011-05,Trendline,0.2008493626 +2011-06,Trendline,0.2008556542 +2011-07,Trendline,0.2008619458 +2011-08,Trendline,0.2008682374 +2011-09,Trendline,0.2008745289 +2011-10,Trendline,0.2008808205 +2011-11,Trendline,0.2008871121 +2011-12,Trendline,0.2008934037 +2012-01,Trendline,0.2008996952 +2012-02,Trendline,0.2009059868 +2012-03,Trendline,0.2009122784 +2012-04,Trendline,0.20091857 +2012-05,Trendline,0.2009248615 +2012-06,Trendline,0.2009311531 +2012-07,Trendline,0.2009374447 +2012-08,Trendline,0.2009437363 +2012-09,Trendline,0.2009500278 +2012-10,Trendline,0.2009563194 +2012-11,Trendline,0.200962611 +2012-12,Trendline,0.2009689026 +2013-01,Trendline,0.2009751941 +2013-02,Trendline,0.2009814857 +2013-03,Trendline,0.2009877773 +2013-04,Trendline,0.2009940689 +2013-05,Trendline,0.2010003604 +2013-06,Trendline,0.201006652 +2013-07,Trendline,0.2010129436 +2013-08,Trendline,0.2010192352 +2013-09,Trendline,0.2010255268 +2013-10,Trendline,0.2010318183 +2013-11,Trendline,0.2010381099 +2013-12,Trendline,0.2010444015 +2014-01,Trendline,0.2010506931 +2014-02,Trendline,0.2010569846 +2014-03,Trendline,0.2010632762 +2014-04,Trendline,0.2010695678 +2014-05,Trendline,0.2010758594 +2014-06,Trendline,0.2010821509 +2014-07,Trendline,0.2010884425 +2014-08,Trendline,0.2010947341 +2014-09,Trendline,0.2011010257 +2014-10,Trendline,0.2011073172 +2014-11,Trendline,0.2011136088 +2014-12,Trendline,0.2011199004 +2015-01,Trendline,0.201126192 +2015-02,Trendline,0.2011324835 +2015-03,Trendline,0.2011387751 +2015-04,Trendline,0.2011450667 +2015-05,Trendline,0.2011513583 +2015-06,Trendline,0.2011576498 +2015-07,Trendline,0.2011639414 +2015-08,Trendline,0.201170233 +2015-09,Trendline,0.2011765246 +2015-10,Trendline,0.2011828161 +2015-11,Trendline,0.2011891077 +2015-12,Trendline,0.2011953993 +2016-01,Trendline,0.2012016909 +2016-02,Trendline,0.2012079824 +2016-03,Trendline,0.201214274 +2016-04,Trendline,0.2012205656 +2016-05,Trendline,0.2012268572 +2016-06,Trendline,0.2012331487 +2016-07,Trendline,0.2012394403 +2016-08,Trendline,0.2012457319 +2016-09,Trendline,0.2012520235 +2016-10,Trendline,0.201258315 +2016-11,Trendline,0.2012646066 +2016-12,Trendline,0.2012708982 +2017-01,Trendline,0.2012771898 +2017-02,Trendline,0.2012834813 +2017-03,Trendline,0.2012897729 +2017-04,Trendline,0.2012960645 +2017-05,Trendline,0.2013023561 +2017-06,Trendline,0.2013086476 +2017-07,Trendline,0.2013149392 +2017-08,Trendline,0.2013212308 +2017-09,Trendline,0.2013275224 +2017-10,Trendline,0.2013338139 +2017-11,Trendline,0.2013401055 +2017-12,Trendline,0.2013463971 +2018-01,Trendline,0.2013526887 +2018-02,Trendline,0.2013589802 +2018-03,Trendline,0.2013652718 +2018-04,Trendline,0.2013715634 +2018-05,Trendline,0.201377855 +2018-06,Trendline,0.2013841465 +2018-07,Trendline,0.2013904381 +2018-08,Trendline,0.2013967297 +2018-09,Trendline,0.2014030213 +2018-10,Trendline,0.2014093128 +2018-11,Trendline,0.2014156044 +2018-12,Trendline,0.201421896 +2019-01,Trendline,0.2014281876 +2019-02,Trendline,0.2014344791 +2019-03,Trendline,0.2014407707 +2019-04,Trendline,0.2014470623 +2019-05,Trendline,0.2014533539 +2019-06,Trendline,0.2014596454 +2019-07,Trendline,0.201465937 +2019-08,Trendline,0.2014722286 +2019-09,Trendline,0.2014785202 +2019-10,Trendline,0.2014848117 +2019-11,Trendline,0.2014911033 +2019-12,Trendline,0.2014973949 \ No newline at end of file diff --git a/stories/aod_socioeconomics.csv b/stories/aod_socioeconomics.csv new file mode 100644 index 000000000..4151a747e --- /dev/null +++ b/stories/aod_socioeconomics.csv @@ -0,0 +1,1196 @@ +Date,p_type,value +2000-02,Poverty 0-5%,0.05175230297 +2000-03,Poverty 0-5%,0.1217991995 +2000-04,Poverty 0-5%,0.1410446128 +2000-05,Poverty 0-5%,0.230135387 +2000-06,Poverty 0-5%,0.2694011803 +2000-07,Poverty 0-5%,0.1696679727 +2000-08,Poverty 0-5%,0.2891865666 +2000-09,Poverty 0-5%,0.2034907058 +2000-10,Poverty 0-5%,0.2048946375 +2000-11,Poverty 0-5%,0.1006728637 +2000-12,Poverty 0-5%,0.07765807185 +2001-01,Poverty 0-5%,0.1126679814 +2001-02,Poverty 0-5%,0.1286528233 +2001-03,Poverty 0-5%,0.1301588016 +2001-04,Poverty 0-5%,0.2194889699 +2001-05,Poverty 0-5%,0.2576436588 +2001-06,Poverty 0-5%,0.3696482993 +2001-07,Poverty 0-5%,0.2729188631 +2001-08,Poverty 0-5%,0.2991495886 +2001-09,Poverty 0-5%,0.139852664 +2001-10,Poverty 0-5%,0.09705614713 +2001-11,Poverty 0-5%,0.1701732805 +2001-12,Poverty 0-5%,0.06674869438 +2002-01,Poverty 0-5%,0.07072877874 +2002-02,Poverty 0-5%,0.07839852345 +2002-03,Poverty 0-5%,0.1065902307 +2002-04,Poverty 0-5%,0.2544891443 +2002-05,Poverty 0-5%,0.2179286328 +2002-06,Poverty 0-5%,0.402503869 +2002-07,Poverty 0-5%,0.3333597292 +2002-08,Poverty 0-5%,0.3592516371 +2002-09,Poverty 0-5%,0.3028550428 +2002-10,Poverty 0-5%,0.1333638581 +2002-11,Poverty 0-5%,0.08170293513 +2002-12,Poverty 0-5%,0.08562389389 +2003-1,Poverty 0-5%,0.08641392183 +2003-02,Poverty 0-5%,0.09609008394 +2003-03,Poverty 0-5%,0.1452225172 +2003-04,Poverty 0-5%,0.1719447786 +2003-05,Poverty 0-5%,0.2857658399 +2003-06,Poverty 0-5%,0.2821073961 +2003-07,Poverty 0-5%,0.3130214837 +2003-08,Poverty 0-5%,0.3672775754 +2003-09,Poverty 0-5%,0.1981401523 +2003-10,Poverty 0-5%,0.1112030009 +2003-11,Poverty 0-5%,0.1136289263 +2003-12,Poverty 0-5%,0.07857394791 +2004-1,Poverty 0-5%,0.08976042826 +2004-02,Poverty 0-5%,0.139903844 +2004-03,Poverty 0-5%,0.1250297463 +2004-04,Poverty 0-5%,0.1712843158 +2004-05,Poverty 0-5%,0.1947149905 +2004-06,Poverty 0-5%,0.3451791449 +2004-07,Poverty 0-5%,0.2932775193 +2004-08,Poverty 0-5%,0.2611816196 +2004-09,Poverty 0-5%,0.230050327 +2004-10,Poverty 0-5%,0.1587879945 +2004-11,Poverty 0-5%,0.07198460292 +2004-12,Poverty 0-5%,0.0651640813 +2005-1,Poverty 0-5%,0.09345710479 +2005-2,Poverty 0-5%,0.15142826 +2005-03,Poverty 0-5%,0.1211678341 +2005-04,Poverty 0-5%,0.1420952304 +2005-05,Poverty 0-5%,0.2710117806 +2005-06,Poverty 0-5%,0.2915947714 +2005-07,Poverty 0-5%,0.2960525613 +2005-08,Poverty 0-5%,0.3199506531 +2005-09,Poverty 0-5%,0.2781707251 +2005-10,Poverty 0-5%,0.1336671312 +2005-11,Poverty 0-5%,0.08435075804 +2005-12,Poverty 0-5%,0.08934802536 +2006-1,Poverty 0-5%,0.07786341692 +2006-2,Poverty 0-5%,0.1081027074 +2006-03,Poverty 0-5%,0.1880143914 +2006-04,Poverty 0-5%,0.2226552296 +2006-05,Poverty 0-5%,0.1663892717 +2006-06,Poverty 0-5%,0.2858030141 +2006-07,Poverty 0-5%,0.3528300137 +2006-08,Poverty 0-5%,0.2723859271 +2006-09,Poverty 0-5%,0.199600441 +2006-10,Poverty 0-5%,0.1708607068 +2006-11,Poverty 0-5%,0.08838416735 +2006-12,Poverty 0-5%,0.07391030231 +2007-1,Poverty 0-5%,0.0876369853 +2007-2,Poverty 0-5%,0.09044921176 +2007-3,Poverty 0-5%,0.1531951354 +2007-04,Poverty 0-5%,0.1705080946 +2007-05,Poverty 0-5%,0.3089213986 +2007-06,Poverty 0-5%,0.3379667038 +2007-07,Poverty 0-5%,0.3766595102 +2007-08,Poverty 0-5%,0.3718729061 +2007-09,Poverty 0-5%,0.2472790658 +2007-10,Poverty 0-5%,0.104828013 +2007-11,Poverty 0-5%,0.2036504641 +2007-12,Poverty 0-5%,0.08007008002 +2008-1,Poverty 0-5%,0.0828355373 +2008-2,Poverty 0-5%,0.108300668 +2008-3,Poverty 0-5%,0.1535560521 +2008-04,Poverty 0-5%,0.1573241064 +2008-05,Poverty 0-5%,0.1985472025 +2008-06,Poverty 0-5%,0.3174571653 +2008-07,Poverty 0-5%,0.2276671412 +2008-08,Poverty 0-5%,0.3185295637 +2008-09,Poverty 0-5%,0.1948448648 +2008-10,Poverty 0-5%,0.117090867 +2008-11,Poverty 0-5%,0.1121230229 +2008-12,Poverty 0-5%,0.0517056377 +2009-01,Poverty 0-5%,0.074432563 +2009-2,Poverty 0-5%,0.0915776139 +2009-3,Poverty 0-5%,0.1497236695 +2009-4,Poverty 0-5%,0.1275510929 +2009-05,Poverty 0-5%,0.1908254963 +2009-06,Poverty 0-5%,0.2354813632 +2009-07,Poverty 0-5%,0.2769630187 +2009-08,Poverty 0-5%,0.2805249217 +2009-09,Poverty 0-5%,0.4609222601 +2009-10,Poverty 0-5%,0.1172200627 +2009-11,Poverty 0-5%,0.1010209335 +2009-12,Poverty 0-5%,0.06588217025 +2010-01,Poverty 0-5%,0.05851429758 +2010-2,Poverty 0-5%,0.1113011662 +2010-3,Poverty 0-5%,0.1545484346 +2010-4,Poverty 0-5%,0.1409622105 +2010-05,Poverty 0-5%,0.2281905314 +2010-06,Poverty 0-5%,0.298697853 +2010-07,Poverty 0-5%,0.3437501884 +2010-08,Poverty 0-5%,0.2726634758 +2010-09,Poverty 0-5%,0.1979410601 +2010-10,Poverty 0-5%,0.1270453525 +2010-11,Poverty 0-5%,0.09550033342 +2010-12,Poverty 0-5%,0.1093800243 +2011-01,Poverty 0-5%,0.08421690503 +2011-02,Poverty 0-5%,0.09565680468 +2011-3,Poverty 0-5%,0.1414772049 +2011-4,Poverty 0-5%,0.1845265481 +2011-5,Poverty 0-5%,0.1946042667 +2011-06,Poverty 0-5%,0.2859036965 +2011-07,Poverty 0-5%,0.3164896198 +2011-08,Poverty 0-5%,0.2645144143 +2011-09,Poverty 0-5%,0.2175138094 +2011-10,Poverty 0-5%,0.1133494386 +2011-11,Poverty 0-5%,0.09452346152 +2011-12,Poverty 0-5%,0.1384748108 +2012-01,Poverty 0-5%,0.07499473536 +2012-02,Poverty 0-5%,0.1553209913 +2012-3,Poverty 0-5%,0.1006411478 +2012-4,Poverty 0-5%,0.1605119923 +2012-5,Poverty 0-5%,0.2995581709 +2012-06,Poverty 0-5%,0.3292128376 +2012-07,Poverty 0-5%,0.3068227492 +2012-08,Poverty 0-5%,0.266806222 +2012-09,Poverty 0-5%,0.1895373998 +2012-10,Poverty 0-5%,0.151298136 +2012-11,Poverty 0-5%,0.09028578302 +2012-12,Poverty 0-5%,0.07123439409 +2013-01,Poverty 0-5%,0.1004383566 +2013-02,Poverty 0-5%,0.09623853519 +2013-03,Poverty 0-5%,0.1363524747 +2013-4,Poverty 0-5%,0.1884905267 +2013-5,Poverty 0-5%,0.1854806778 +2013-6,Poverty 0-5%,0.2285411245 +2013-07,Poverty 0-5%,0.3071886607 +2013-08,Poverty 0-5%,0.3013681905 +2013-09,Poverty 0-5%,0.2018790552 +2013-10,Poverty 0-5%,0.1163641164 +2013-11,Poverty 0-5%,0.1120832295 +2013-12,Poverty 0-5%,0.07705738497 +2014-01,Poverty 0-5%,0.05593574078 +2014-02,Poverty 0-5%,0.1337505115 +2014-03,Poverty 0-5%,0.1657485941 +2014-4,Poverty 0-5%,0.1563094473 +2014-5,Poverty 0-5%,0.1625569323 +2014-6,Poverty 0-5%,0.2412089582 +2014-07,Poverty 0-5%,0.3540486352 +2014-08,Poverty 0-5%,0.3068971379 +2014-09,Poverty 0-5%,0.2821758456 +2014-10,Poverty 0-5%,0.1257391166 +2014-11,Poverty 0-5%,0.07688190444 +2014-12,Poverty 0-5%,0.1182056554 +2015-01,Poverty 0-5%,0.07907852803 +2015-02,Poverty 0-5%,0.1461929247 +2015-03,Poverty 0-5%,0.141294102 +2015-04,Poverty 0-5%,0.1789820048 +2015-5,Poverty 0-5%,0.2450496863 +2015-6,Poverty 0-5%,0.3045071003 +2015-7,Poverty 0-5%,0.2792761027 +2015-08,Poverty 0-5%,0.2533842363 +2015-09,Poverty 0-5%,0.2178316439 +2015-10,Poverty 0-5%,0.1208950694 +2015-11,Poverty 0-5%,0.1018860654 +2015-12,Poverty 0-5%,0.09810367986 +2016-01,Poverty 0-5%,0.07583879459 +2016-02,Poverty 0-5%,0.0901005734 +2016-03,Poverty 0-5%,0.1408080193 +2016-04,Poverty 0-5%,0.1639619035 +2016-5,Poverty 0-5%,0.1815178233 +2016-6,Poverty 0-5%,0.2862880615 +2016-7,Poverty 0-5%,0.3223848229 +2016-08,Poverty 0-5%,0.2657981476 +2016-09,Poverty 0-5%,0.2119902223 +2016-10,Poverty 0-5%,0.1265333634 +2016-11,Poverty 0-5%,0.1084805423 +2016-12,Poverty 0-5%,0.1303830002 +2017-01,Poverty 0-5%,0.0637756554 +2017-02,Poverty 0-5%,0.1339849454 +2017-03,Poverty 0-5%,0.1541262836 +2017-04,Poverty 0-5%,0.1402946495 +2017-05,Poverty 0-5%,0.1290472332 +2017-6,Poverty 0-5%,0.312027476 +2017-7,Poverty 0-5%,0.308588627 +2017-8,Poverty 0-5%,0.291067313 +2017-09,Poverty 0-5%,0.2762318528 +2017-10,Poverty 0-5%,0.1274148359 +2017-11,Poverty 0-5%,0.1293608745 +2017-12,Poverty 0-5%,0.07389577756 +2018-01,Poverty 0-5%,0.08803332288 +2018-02,Poverty 0-5%,0.3210509275 +2018-03,Poverty 0-5%,0.1398776308 +2018-04,Poverty 0-5%,0.1665307383 +2018-05,Poverty 0-5%,0.2171733031 +2018-6,Poverty 0-5%,0.3094372547 +2018-7,Poverty 0-5%,0.3071028295 +2018-8,Poverty 0-5%,0.293942796 +2018-09,Poverty 0-5%,0.2126439514 +2018-10,Poverty 0-5%,0.1216933478 +2018-11,Poverty 0-5%,0.09753883619 +2018-12,Poverty 0-5%,0.07029436131 +2019-01,Poverty 0-5%,0.1036023417 +2019-02,Poverty 0-5%,0.1178327103 +2019-03,Poverty 0-5%,0.1220689363 +2019-04,Poverty 0-5%,0.1079881951 +2019-05,Poverty 0-5%,0.2398942864 +2019-06,Poverty 0-5%,0.2166177371 +2019-7,Poverty 0-5%,0.2372417408 +2019-8,Poverty 0-5%,0.3548920784 +2019-9,Poverty 0-5%,0.2280263576 +2019-10,Poverty 0-5%,0.1619613684 +2019-11,Poverty 0-5%,0.1015730739 +2019-12,Poverty 0-5%,0.06871402057 +2000-02,Poverty 5-10%,0.05225518987 +2000-03,Poverty 5-10%,0.1152406687 +2000-04,Poverty 5-10%,0.1393174877 +2000-05,Poverty 5-10%,0.2351819485 +2000-06,Poverty 5-10%,0.2668245455 +2000-07,Poverty 5-10%,0.167894969 +2000-08,Poverty 5-10%,0.2864406916 +2000-09,Poverty 5-10%,0.1989485466 +2000-10,Poverty 5-10%,0.2068584145 +2000-11,Poverty 5-10%,0.1014171838 +2000-12,Poverty 5-10%,0.07768273505 +2001-01,Poverty 5-10%,0.1073061722 +2001-02,Poverty 5-10%,0.1194744465 +2001-03,Poverty 5-10%,0.1325242362 +2001-04,Poverty 5-10%,0.2113760653 +2001-05,Poverty 5-10%,0.2453648661 +2001-06,Poverty 5-10%,0.3585750684 +2001-07,Poverty 5-10%,0.265108959 +2001-08,Poverty 5-10%,0.2962156425 +2001-09,Poverty 5-10%,0.1424499514 +2001-10,Poverty 5-10%,0.09587758778 +2001-11,Poverty 5-10%,0.1704303073 +2001-12,Poverty 5-10%,0.07029284087 +2002-01,Poverty 5-10%,0.07556766027 +2002-02,Poverty 5-10%,0.08404544261 +2002-03,Poverty 5-10%,0.108365258 +2002-04,Poverty 5-10%,0.2500832897 +2002-05,Poverty 5-10%,0.204412486 +2002-06,Poverty 5-10%,0.4064613154 +2002-07,Poverty 5-10%,0.3314647757 +2002-08,Poverty 5-10%,0.3649344628 +2002-09,Poverty 5-10%,0.2979216773 +2002-10,Poverty 5-10%,0.1388911821 +2002-11,Poverty 5-10%,0.08121325529 +2002-12,Poverty 5-10%,0.08953090439 +2003-1,Poverty 5-10%,0.09120403914 +2003-02,Poverty 5-10%,0.1014445168 +2003-03,Poverty 5-10%,0.1417804353 +2003-04,Poverty 5-10%,0.165308176 +2003-05,Poverty 5-10%,0.2838576741 +2003-06,Poverty 5-10%,0.2820846528 +2003-07,Poverty 5-10%,0.31500215 +2003-08,Poverty 5-10%,0.369412947 +2003-09,Poverty 5-10%,0.2016255697 +2003-10,Poverty 5-10%,0.1099222034 +2003-11,Poverty 5-10%,0.1170184174 +2003-12,Poverty 5-10%,0.0806680895 +2004-1,Poverty 5-10%,0.09012209785 +2004-02,Poverty 5-10%,0.1486253263 +2004-03,Poverty 5-10%,0.1246825293 +2004-04,Poverty 5-10%,0.1798932038 +2004-05,Poverty 5-10%,0.1982667768 +2004-06,Poverty 5-10%,0.3413397205 +2004-07,Poverty 5-10%,0.2919185303 +2004-08,Poverty 5-10%,0.2584894238 +2004-09,Poverty 5-10%,0.2281562911 +2004-10,Poverty 5-10%,0.1614751502 +2004-11,Poverty 5-10%,0.07442351092 +2004-12,Poverty 5-10%,0.06723998558 +2005-1,Poverty 5-10%,0.0922766744 +2005-2,Poverty 5-10%,0.1580284141 +2005-03,Poverty 5-10%,0.1242842124 +2005-04,Poverty 5-10%,0.1408120108 +2005-05,Poverty 5-10%,0.2616097845 +2005-06,Poverty 5-10%,0.2942330746 +2005-07,Poverty 5-10%,0.2946339745 +2005-08,Poverty 5-10%,0.3047728685 +2005-09,Poverty 5-10%,0.2753218408 +2005-10,Poverty 5-10%,0.1354163219 +2005-11,Poverty 5-10%,0.08711022894 +2005-12,Poverty 5-10%,0.09067154362 +2006-1,Poverty 5-10%,0.08011064191 +2006-2,Poverty 5-10%,0.1123059202 +2006-03,Poverty 5-10%,0.1824086487 +2006-04,Poverty 5-10%,0.227318964 +2006-05,Poverty 5-10%,0.1724779946 +2006-06,Poverty 5-10%,0.2819015426 +2006-07,Poverty 5-10%,0.3479089657 +2006-08,Poverty 5-10%,0.2779845308 +2006-09,Poverty 5-10%,0.1962062156 +2006-10,Poverty 5-10%,0.1714977601 +2006-11,Poverty 5-10%,0.08728285023 +2006-12,Poverty 5-10%,0.07186818954 +2007-1,Poverty 5-10%,0.09367952694 +2007-2,Poverty 5-10%,0.09624168329 +2007-3,Poverty 5-10%,0.1572636048 +2007-04,Poverty 5-10%,0.1775427268 +2007-05,Poverty 5-10%,0.3120131876 +2007-06,Poverty 5-10%,0.3413269999 +2007-07,Poverty 5-10%,0.3824182536 +2007-08,Poverty 5-10%,0.3651504118 +2007-09,Poverty 5-10%,0.2442665896 +2007-10,Poverty 5-10%,0.1067914863 +2007-11,Poverty 5-10%,0.2085739035 +2007-12,Poverty 5-10%,0.08550239678 +2008-1,Poverty 5-10%,0.08537599328 +2008-2,Poverty 5-10%,0.1131545093 +2008-3,Poverty 5-10%,0.1539799759 +2008-04,Poverty 5-10%,0.1526841713 +2008-05,Poverty 5-10%,0.2040328312 +2008-06,Poverty 5-10%,0.3188145345 +2008-07,Poverty 5-10%,0.2296954311 +2008-08,Poverty 5-10%,0.3128134795 +2008-09,Poverty 5-10%,0.19525874 +2008-10,Poverty 5-10%,0.1185303266 +2008-11,Poverty 5-10%,0.1128662847 +2008-12,Poverty 5-10%,0.05263850886 +2009-01,Poverty 5-10%,0.07643866476 +2009-2,Poverty 5-10%,0.09223920115 +2009-3,Poverty 5-10%,0.1565872724 +2009-4,Poverty 5-10%,0.1284015701 +2009-05,Poverty 5-10%,0.1934241726 +2009-06,Poverty 5-10%,0.2358994561 +2009-07,Poverty 5-10%,0.2774248184 +2009-08,Poverty 5-10%,0.274780306 +2009-09,Poverty 5-10%,0.4536395092 +2009-10,Poverty 5-10%,0.1198081276 +2009-11,Poverty 5-10%,0.1017783829 +2009-12,Poverty 5-10%,0.06880181733 +2010-01,Poverty 5-10%,0.06095054367 +2010-2,Poverty 5-10%,0.1152781942 +2010-3,Poverty 5-10%,0.1529746323 +2010-4,Poverty 5-10%,0.1393280543 +2010-05,Poverty 5-10%,0.2271215252 +2010-06,Poverty 5-10%,0.313191662 +2010-07,Poverty 5-10%,0.3514644987 +2010-08,Poverty 5-10%,0.2723825466 +2010-09,Poverty 5-10%,0.1985297402 +2010-10,Poverty 5-10%,0.1276523074 +2010-11,Poverty 5-10%,0.09672219018 +2010-12,Poverty 5-10%,0.1130740962 +2011-01,Poverty 5-10%,0.08808699347 +2011-02,Poverty 5-10%,0.09512516474 +2011-3,Poverty 5-10%,0.1394542685 +2011-4,Poverty 5-10%,0.1821008759 +2011-5,Poverty 5-10%,0.1919049 +2011-06,Poverty 5-10%,0.2819273706 +2011-07,Poverty 5-10%,0.3207787418 +2011-08,Poverty 5-10%,0.2617788557 +2011-09,Poverty 5-10%,0.216457111 +2011-10,Poverty 5-10%,0.1184567182 +2011-11,Poverty 5-10%,0.0995655903 +2011-12,Poverty 5-10%,0.1455036718 +2012-01,Poverty 5-10%,0.07992035596 +2012-02,Poverty 5-10%,0.1653296631 +2012-3,Poverty 5-10%,0.1038587187 +2012-4,Poverty 5-10%,0.1645189066 +2012-5,Poverty 5-10%,0.2966802219 +2012-06,Poverty 5-10%,0.3241054621 +2012-07,Poverty 5-10%,0.3031042814 +2012-08,Poverty 5-10%,0.2656792179 +2012-09,Poverty 5-10%,0.1968028026 +2012-10,Poverty 5-10%,0.1513674743 +2012-11,Poverty 5-10%,0.09433827309 +2012-12,Poverty 5-10%,0.07443337203 +2013-01,Poverty 5-10%,0.1039453881 +2013-02,Poverty 5-10%,0.09881039366 +2013-03,Poverty 5-10%,0.1386430453 +2013-4,Poverty 5-10%,0.1936184897 +2013-5,Poverty 5-10%,0.1897784392 +2013-6,Poverty 5-10%,0.2300751181 +2013-07,Poverty 5-10%,0.2975513793 +2013-08,Poverty 5-10%,0.3016612835 +2013-09,Poverty 5-10%,0.2048803377 +2013-10,Poverty 5-10%,0.1218085722 +2013-11,Poverty 5-10%,0.1156216111 +2013-12,Poverty 5-10%,0.07911910971 +2014-01,Poverty 5-10%,0.05599177677 +2014-02,Poverty 5-10%,0.1429169086 +2014-03,Poverty 5-10%,0.1740495076 +2014-4,Poverty 5-10%,0.1551241928 +2014-5,Poverty 5-10%,0.1624817356 +2014-6,Poverty 5-10%,0.2408317941 +2014-07,Poverty 5-10%,0.3583891804 +2014-08,Poverty 5-10%,0.3139174888 +2014-09,Poverty 5-10%,0.2828397913 +2014-10,Poverty 5-10%,0.1291975541 +2014-11,Poverty 5-10%,0.07872831068 +2014-12,Poverty 5-10%,0.1128109969 +2015-01,Poverty 5-10%,0.08257103593 +2015-02,Poverty 5-10%,0.1476798366 +2015-03,Poverty 5-10%,0.1480520874 +2015-04,Poverty 5-10%,0.1794516637 +2015-5,Poverty 5-10%,0.2536186232 +2015-6,Poverty 5-10%,0.2961941716 +2015-7,Poverty 5-10%,0.2667895582 +2015-08,Poverty 5-10%,0.2499568663 +2015-09,Poverty 5-10%,0.2134578736 +2015-10,Poverty 5-10%,0.120084466 +2015-11,Poverty 5-10%,0.09899300722 +2015-12,Poverty 5-10%,0.09708024885 +2016-01,Poverty 5-10%,0.07583114881 +2016-02,Poverty 5-10%,0.08832768023 +2016-03,Poverty 5-10%,0.1389869889 +2016-04,Poverty 5-10%,0.1619985172 +2016-5,Poverty 5-10%,0.1877630156 +2016-6,Poverty 5-10%,0.2856578768 +2016-7,Poverty 5-10%,0.321566561 +2016-08,Poverty 5-10%,0.2644289826 +2016-09,Poverty 5-10%,0.2136794343 +2016-10,Poverty 5-10%,0.1251066656 +2016-11,Poverty 5-10%,0.1032910419 +2016-12,Poverty 5-10%,0.1358638678 +2017-01,Poverty 5-10%,0.06607444014 +2017-02,Poverty 5-10%,0.1328909266 +2017-03,Poverty 5-10%,0.1611076686 +2017-04,Poverty 5-10%,0.1396144074 +2017-05,Poverty 5-10%,0.1287243978 +2017-6,Poverty 5-10%,0.3137252909 +2017-7,Poverty 5-10%,0.3080885911 +2017-8,Poverty 5-10%,0.2997353409 +2017-09,Poverty 5-10%,0.2785477713 +2017-10,Poverty 5-10%,0.1305845681 +2017-11,Poverty 5-10%,0.1283860162 +2017-12,Poverty 5-10%,0.07797702996 +2018-01,Poverty 5-10%,0.09251473256 +2018-02,Poverty 5-10%,0.3355749277 +2018-03,Poverty 5-10%,0.1401417859 +2018-04,Poverty 5-10%,0.1644323606 +2018-05,Poverty 5-10%,0.2134562788 +2018-6,Poverty 5-10%,0.3040159188 +2018-7,Poverty 5-10%,0.3074138811 +2018-8,Poverty 5-10%,0.293537981 +2018-09,Poverty 5-10%,0.2234323188 +2018-10,Poverty 5-10%,0.1173572163 +2018-11,Poverty 5-10%,0.09789293292 +2018-12,Poverty 5-10%,0.07175743744 +2019-01,Poverty 5-10%,0.1060747494 +2019-02,Poverty 5-10%,0.1191951714 +2019-03,Poverty 5-10%,0.1155321682 +2019-04,Poverty 5-10%,0.1073317971 +2019-05,Poverty 5-10%,0.2399350182 +2019-06,Poverty 5-10%,0.2245004981 +2019-7,Poverty 5-10%,0.2390466633 +2019-8,Poverty 5-10%,0.3576641522 +2019-9,Poverty 5-10%,0.2337430873 +2019-10,Poverty 5-10%,0.1658995299 +2019-11,Poverty 5-10%,0.101231182 +2019-12,Poverty 5-10%,0.06849717021 +2000-02,Poverty 10-15%,0.05812661738 +2000-03,Poverty 10-15%,0.1125491687 +2000-04,Poverty 10-15%,0.1287390849 +2000-05,Poverty 10-15%,0.2263424637 +2000-06,Poverty 10-15%,0.2547590929 +2000-07,Poverty 10-15%,0.1546343146 +2000-08,Poverty 10-15%,0.2641673517 +2000-09,Poverty 10-15%,0.187785598 +2000-10,Poverty 10-15%,0.213785508 +2000-11,Poverty 10-15%,0.1043491495 +2000-12,Poverty 10-15%,0.07899977426 +2001-01,Poverty 10-15%,0.1051799951 +2001-02,Poverty 10-15%,0.1214097631 +2001-03,Poverty 10-15%,0.1335864418 +2001-04,Poverty 10-15%,0.2170938993 +2001-05,Poverty 10-15%,0.2285109755 +2001-06,Poverty 10-15%,0.3616425656 +2001-07,Poverty 10-15%,0.2568999142 +2001-08,Poverty 10-15%,0.2992236438 +2001-09,Poverty 10-15%,0.1435437261 +2001-10,Poverty 10-15%,0.09239919413 +2001-11,Poverty 10-15%,0.1638798069 +2001-12,Poverty 10-15%,0.06715318267 +2002-01,Poverty 10-15%,0.07311768379 +2002-02,Poverty 10-15%,0.08290646746 +2002-03,Poverty 10-15%,0.1134038641 +2002-04,Poverty 10-15%,0.2739547081 +2002-05,Poverty 10-15%,0.1885434257 +2002-06,Poverty 10-15%,0.4408158116 +2002-07,Poverty 10-15%,0.3311393802 +2002-08,Poverty 10-15%,0.3589378919 +2002-09,Poverty 10-15%,0.298234164 +2002-10,Poverty 10-15%,0.1425554886 +2002-11,Poverty 10-15%,0.07801174756 +2002-12,Poverty 10-15%,0.08954099458 +2003-1,Poverty 10-15%,0.09237263052 +2003-02,Poverty 10-15%,0.1019976846 +2003-03,Poverty 10-15%,0.1447673691 +2003-04,Poverty 10-15%,0.1640021167 +2003-05,Poverty 10-15%,0.2801883279 +2003-06,Poverty 10-15%,0.2697505772 +2003-07,Poverty 10-15%,0.3079047914 +2003-08,Poverty 10-15%,0.3685173299 +2003-09,Poverty 10-15%,0.2046749239 +2003-10,Poverty 10-15%,0.1089278597 +2003-11,Poverty 10-15%,0.1103314775 +2003-12,Poverty 10-15%,0.07946776778 +2004-1,Poverty 10-15%,0.09223530234 +2004-02,Poverty 10-15%,0.1512269215 +2004-03,Poverty 10-15%,0.1282058262 +2004-04,Poverty 10-15%,0.1720739363 +2004-05,Poverty 10-15%,0.2048579602 +2004-06,Poverty 10-15%,0.339567809 +2004-07,Poverty 10-15%,0.2781060285 +2004-08,Poverty 10-15%,0.2565109581 +2004-09,Poverty 10-15%,0.2346865871 +2004-10,Poverty 10-15%,0.1576652805 +2004-11,Poverty 10-15%,0.07233689809 +2004-12,Poverty 10-15%,0.06387540818 +2005-1,Poverty 10-15%,0.09011788303 +2005-2,Poverty 10-15%,0.1630106414 +2005-03,Poverty 10-15%,0.1229284174 +2005-04,Poverty 10-15%,0.1450098087 +2005-05,Poverty 10-15%,0.2639397522 +2005-06,Poverty 10-15%,0.2834355467 +2005-07,Poverty 10-15%,0.2919088725 +2005-08,Poverty 10-15%,0.3097975985 +2005-09,Poverty 10-15%,0.272220476 +2005-10,Poverty 10-15%,0.1292366573 +2005-11,Poverty 10-15%,0.08269062263 +2005-12,Poverty 10-15%,0.09250242926 +2006-1,Poverty 10-15%,0.07775342221 +2006-2,Poverty 10-15%,0.1072596806 +2006-03,Poverty 10-15%,0.1855406037 +2006-04,Poverty 10-15%,0.2242709939 +2006-05,Poverty 10-15%,0.1652147404 +2006-06,Poverty 10-15%,0.2697609754 +2006-07,Poverty 10-15%,0.3437162483 +2006-08,Poverty 10-15%,0.2803341645 +2006-09,Poverty 10-15%,0.1992846991 +2006-10,Poverty 10-15%,0.1741891953 +2006-11,Poverty 10-15%,0.08301430511 +2006-12,Poverty 10-15%,0.06804551788 +2007-1,Poverty 10-15%,0.09396988272 +2007-2,Poverty 10-15%,0.09549965392 +2007-3,Poverty 10-15%,0.1562512862 +2007-04,Poverty 10-15%,0.1776199099 +2007-05,Poverty 10-15%,0.308015455 +2007-06,Poverty 10-15%,0.3481715053 +2007-07,Poverty 10-15%,0.3879552295 +2007-08,Poverty 10-15%,0.3605635761 +2007-09,Poverty 10-15%,0.2463571758 +2007-10,Poverty 10-15%,0.1025184896 +2007-11,Poverty 10-15%,0.2041824896 +2007-12,Poverty 10-15%,0.08525292482 +2008-1,Poverty 10-15%,0.08584516622 +2008-2,Poverty 10-15%,0.110512922 +2008-3,Poverty 10-15%,0.1492081585 +2008-04,Poverty 10-15%,0.1492950389 +2008-05,Poverty 10-15%,0.1945907015 +2008-06,Poverty 10-15%,0.3136170338 +2008-07,Poverty 10-15%,0.2106167161 +2008-08,Poverty 10-15%,0.3069753571 +2008-09,Poverty 10-15%,0.1923118796 +2008-10,Poverty 10-15%,0.1174684963 +2008-11,Poverty 10-15%,0.1094643773 +2008-12,Poverty 10-15%,0.04931686261 +2009-01,Poverty 10-15%,0.07326244588 +2009-2,Poverty 10-15%,0.08812530966 +2009-3,Poverty 10-15%,0.15406281 +2009-4,Poverty 10-15%,0.1283918428 +2009-05,Poverty 10-15%,0.1959740378 +2009-06,Poverty 10-15%,0.2300298057 +2009-07,Poverty 10-15%,0.267597171 +2009-08,Poverty 10-15%,0.26665451 +2009-09,Poverty 10-15%,0.4507334398 +2009-10,Poverty 10-15%,0.1175193379 +2009-11,Poverty 10-15%,0.1001859261 +2009-12,Poverty 10-15%,0.0676245554 +2010-01,Poverty 10-15%,0.0593228738 +2010-2,Poverty 10-15%,0.1150829117 +2010-3,Poverty 10-15%,0.153538696 +2010-4,Poverty 10-15%,0.1392285599 +2010-05,Poverty 10-15%,0.2288135699 +2010-06,Poverty 10-15%,0.3194629821 +2010-07,Poverty 10-15%,0.347999357 +2010-08,Poverty 10-15%,0.2730713932 +2010-09,Poverty 10-15%,0.200694689 +2010-10,Poverty 10-15%,0.1236727025 +2010-11,Poverty 10-15%,0.09271797409 +2010-12,Poverty 10-15%,0.1148982843 +2011-01,Poverty 10-15%,0.08815810067 +2011-02,Poverty 10-15%,0.09317804113 +2011-3,Poverty 10-15%,0.1367409089 +2011-4,Poverty 10-15%,0.1797443871 +2011-5,Poverty 10-15%,0.1928701254 +2011-06,Poverty 10-15%,0.2803617062 +2011-07,Poverty 10-15%,0.3211933458 +2011-08,Poverty 10-15%,0.2573719756 +2011-09,Poverty 10-15%,0.2160185829 +2011-10,Poverty 10-15%,0.1167584253 +2011-11,Poverty 10-15%,0.1014604063 +2011-12,Poverty 10-15%,0.151049552 +2012-01,Poverty 10-15%,0.07723214203 +2012-02,Poverty 10-15%,0.168418283 +2012-3,Poverty 10-15%,0.1048078483 +2012-4,Poverty 10-15%,0.168168548 +2012-5,Poverty 10-15%,0.3005870309 +2012-06,Poverty 10-15%,0.3213924685 +2012-07,Poverty 10-15%,0.3018653808 +2012-08,Poverty 10-15%,0.2628063702 +2012-09,Poverty 10-15%,0.1936064886 +2012-10,Poverty 10-15%,0.1482255586 +2012-11,Poverty 10-15%,0.09429524411 +2012-12,Poverty 10-15%,0.07455077994 +2013-01,Poverty 10-15%,0.1017866677 +2013-02,Poverty 10-15%,0.1001649669 +2013-03,Poverty 10-15%,0.1405874783 +2013-4,Poverty 10-15%,0.1899593941 +2013-5,Poverty 10-15%,0.1893376184 +2013-6,Poverty 10-15%,0.221969074 +2013-07,Poverty 10-15%,0.2870891606 +2013-08,Poverty 10-15%,0.2916678075 +2013-09,Poverty 10-15%,0.1938660437 +2013-10,Poverty 10-15%,0.1201171791 +2013-11,Poverty 10-15%,0.116644205 +2013-12,Poverty 10-15%,0.07733191192 +2014-01,Poverty 10-15%,0.05757097719 +2014-02,Poverty 10-15%,0.1399225429 +2014-03,Poverty 10-15%,0.1740779275 +2014-4,Poverty 10-15%,0.1492665739 +2014-5,Poverty 10-15%,0.1536336042 +2014-6,Poverty 10-15%,0.235374321 +2014-07,Poverty 10-15%,0.3574183983 +2014-08,Poverty 10-15%,0.3063273959 +2014-09,Poverty 10-15%,0.278529655 +2014-10,Poverty 10-15%,0.1308649674 +2014-11,Poverty 10-15%,0.0779703465 +2014-12,Poverty 10-15%,0.11402058 +2015-01,Poverty 10-15%,0.07811440376 +2015-02,Poverty 10-15%,0.1456454264 +2015-03,Poverty 10-15%,0.1419205476 +2015-04,Poverty 10-15%,0.1772593699 +2015-5,Poverty 10-15%,0.2418551457 +2015-6,Poverty 10-15%,0.3023276882 +2015-7,Poverty 10-15%,0.2654633078 +2015-08,Poverty 10-15%,0.2415313748 +2015-09,Poverty 10-15%,0.2149417971 +2015-10,Poverty 10-15%,0.1185543306 +2015-11,Poverty 10-15%,0.09328554408 +2015-12,Poverty 10-15%,0.09525078415 +2016-01,Poverty 10-15%,0.07545398702 +2016-02,Poverty 10-15%,0.08844326093 +2016-03,Poverty 10-15%,0.1406871709 +2016-04,Poverty 10-15%,0.1693281306 +2016-5,Poverty 10-15%,0.1809412289 +2016-6,Poverty 10-15%,0.2893069764 +2016-7,Poverty 10-15%,0.3300936402 +2016-08,Poverty 10-15%,0.2587660971 +2016-09,Poverty 10-15%,0.2177036153 +2016-10,Poverty 10-15%,0.1249672349 +2016-11,Poverty 10-15%,0.1028356578 +2016-12,Poverty 10-15%,0.1383972654 +2017-01,Poverty 10-15%,0.06361938759 +2017-02,Poverty 10-15%,0.1290345916 +2017-03,Poverty 10-15%,0.1626267431 +2017-04,Poverty 10-15%,0.135006355 +2017-05,Poverty 10-15%,0.1227315398 +2017-6,Poverty 10-15%,0.3185860616 +2017-7,Poverty 10-15%,0.3111045651 +2017-8,Poverty 10-15%,0.3012838323 +2017-09,Poverty 10-15%,0.2794454809 +2017-10,Poverty 10-15%,0.1345780375 +2017-11,Poverty 10-15%,0.1292823916 +2017-12,Poverty 10-15%,0.07433470773 +2018-01,Poverty 10-15%,0.09062592928 +2018-02,Poverty 10-15%,0.3317244006 +2018-03,Poverty 10-15%,0.1391878211 +2018-04,Poverty 10-15%,0.1652330918 +2018-05,Poverty 10-15%,0.210978515 +2018-6,Poverty 10-15%,0.3088556953 +2018-7,Poverty 10-15%,0.3063808567 +2018-8,Poverty 10-15%,0.2776515784 +2018-09,Poverty 10-15%,0.2168306404 +2018-10,Poverty 10-15%,0.1179435156 +2018-11,Poverty 10-15%,0.09353484811 +2018-12,Poverty 10-15%,0.07032939283 +2019-01,Poverty 10-15%,0.107314176 +2019-02,Poverty 10-15%,0.1144165203 +2019-03,Poverty 10-15%,0.1109837769 +2019-04,Poverty 10-15%,0.1066600413 +2019-05,Poverty 10-15%,0.2534364214 +2019-06,Poverty 10-15%,0.2246246277 +2019-7,Poverty 10-15%,0.2403127422 +2019-8,Poverty 10-15%,0.3489375446 +2019-9,Poverty 10-15%,0.2308583338 +2019-10,Poverty 10-15%,0.1656262552 +2019-11,Poverty 10-15%,0.1010475326 +2019-12,Poverty 10-15%,0.06670694669 +2000-02,Poverty 15-20%,0.06098785425 +2000-03,Poverty 15-20%,0.126250012 +2000-04,Poverty 15-20%,0.1355686082 +2000-05,Poverty 15-20%,0.231574834 +2000-06,Poverty 15-20%,0.2587435764 +2000-07,Poverty 15-20%,0.1678428677 +2000-08,Poverty 15-20%,0.2915191388 +2000-09,Poverty 15-20%,0.2043473618 +2000-10,Poverty 15-20%,0.2130097672 +2000-11,Poverty 15-20%,0.1073616987 +2000-12,Poverty 15-20%,0.07431455917 +2001-01,Poverty 15-20%,0.1048047103 +2001-02,Poverty 15-20%,0.1149520159 +2001-03,Poverty 15-20%,0.1360479233 +2001-04,Poverty 15-20%,0.2020962123 +2001-05,Poverty 15-20%,0.2306649952 +2001-06,Poverty 15-20%,0.3795947368 +2001-07,Poverty 15-20%,0.2708155516 +2001-08,Poverty 15-20%,0.3184034586 +2001-09,Poverty 15-20%,0.1407430355 +2001-10,Poverty 15-20%,0.09967744497 +2001-11,Poverty 15-20%,0.1794229243 +2001-12,Poverty 15-20%,0.06656833103 +2002-01,Poverty 15-20%,0.0772988226 +2002-02,Poverty 15-20%,0.08927863807 +2002-03,Poverty 15-20%,0.1168809733 +2002-04,Poverty 15-20%,0.2641169328 +2002-05,Poverty 15-20%,0.2179825607 +2002-06,Poverty 15-20%,0.4197101334 +2002-07,Poverty 15-20%,0.3402117773 +2002-08,Poverty 15-20%,0.3773694388 +2002-09,Poverty 15-20%,0.3097815301 +2002-10,Poverty 15-20%,0.1465842345 +2002-11,Poverty 15-20%,0.08026972944 +2002-12,Poverty 15-20%,0.09173093912 +2003-1,Poverty 15-20%,0.09186771991 +2003-02,Poverty 15-20%,0.10210546 +2003-03,Poverty 15-20%,0.1450413605 +2003-04,Poverty 15-20%,0.1736855751 +2003-05,Poverty 15-20%,0.2751778023 +2003-06,Poverty 15-20%,0.2892767371 +2003-07,Poverty 15-20%,0.335049307 +2003-08,Poverty 15-20%,0.3968582823 +2003-09,Poverty 15-20%,0.2063884057 +2003-10,Poverty 15-20%,0.1114315707 +2003-11,Poverty 15-20%,0.1174636062 +2003-12,Poverty 15-20%,0.079702553 +2004-1,Poverty 15-20%,0.0888510565 +2004-02,Poverty 15-20%,0.153240497 +2004-03,Poverty 15-20%,0.1256875489 +2004-04,Poverty 15-20%,0.1932662485 +2004-05,Poverty 15-20%,0.2095132974 +2004-06,Poverty 15-20%,0.3532066131 +2004-07,Poverty 15-20%,0.309795914 +2004-08,Poverty 15-20%,0.2702148674 +2004-09,Poverty 15-20%,0.2369252467 +2004-10,Poverty 15-20%,0.1691692116 +2004-11,Poverty 15-20%,0.07726005234 +2004-12,Poverty 15-20%,0.06835020341 +2005-1,Poverty 15-20%,0.09250993963 +2005-2,Poverty 15-20%,0.1678505382 +2005-03,Poverty 15-20%,0.1258768158 +2005-04,Poverty 15-20%,0.1486184818 +2005-05,Poverty 15-20%,0.2586093971 +2005-06,Poverty 15-20%,0.2993526515 +2005-07,Poverty 15-20%,0.3038276903 +2005-08,Poverty 15-20%,0.3188960654 +2005-09,Poverty 15-20%,0.2852858258 +2005-10,Poverty 15-20%,0.1430796442 +2005-11,Poverty 15-20%,0.08612129851 +2005-12,Poverty 15-20%,0.08706358306 +2006-1,Poverty 15-20%,0.07891076503 +2006-2,Poverty 15-20%,0.1100878571 +2006-03,Poverty 15-20%,0.1855810457 +2006-04,Poverty 15-20%,0.2308397196 +2006-05,Poverty 15-20%,0.183890889 +2006-06,Poverty 15-20%,0.2903253635 +2006-07,Poverty 15-20%,0.3559401597 +2006-08,Poverty 15-20%,0.2854375468 +2006-09,Poverty 15-20%,0.2062397004 +2006-10,Poverty 15-20%,0.1795761688 +2006-11,Poverty 15-20%,0.09114731009 +2006-12,Poverty 15-20%,0.07586856067 +2007-1,Poverty 15-20%,0.09539690332 +2007-2,Poverty 15-20%,0.09980020241 +2007-3,Poverty 15-20%,0.1571788803 +2007-04,Poverty 15-20%,0.1828709136 +2007-05,Poverty 15-20%,0.3140639381 +2007-06,Poverty 15-20%,0.3803042623 +2007-07,Poverty 15-20%,0.3841562802 +2007-08,Poverty 15-20%,0.3749474708 +2007-09,Poverty 15-20%,0.2486580573 +2007-10,Poverty 15-20%,0.1108132875 +2007-11,Poverty 15-20%,0.2129515903 +2007-12,Poverty 15-20%,0.08887720967 +2008-1,Poverty 15-20%,0.08833359233 +2008-2,Poverty 15-20%,0.1130602851 +2008-3,Poverty 15-20%,0.1555711192 +2008-04,Poverty 15-20%,0.1563673791 +2008-05,Poverty 15-20%,0.2112345604 +2008-06,Poverty 15-20%,0.3344980158 +2008-07,Poverty 15-20%,0.2336286269 +2008-08,Poverty 15-20%,0.3225480743 +2008-09,Poverty 15-20%,0.1964241413 +2008-10,Poverty 15-20%,0.1204647002 +2008-11,Poverty 15-20%,0.1149960368 +2008-12,Poverty 15-20%,0.05356262336 +2009-01,Poverty 15-20%,0.07874246712 +2009-2,Poverty 15-20%,0.08768280436 +2009-3,Poverty 15-20%,0.1648446053 +2009-4,Poverty 15-20%,0.1300432252 +2009-05,Poverty 15-20%,0.1951604023 +2009-06,Poverty 15-20%,0.2351578461 +2009-07,Poverty 15-20%,0.2910742312 +2009-08,Poverty 15-20%,0.2906918343 +2009-09,Poverty 15-20%,0.4620278225 +2009-10,Poverty 15-20%,0.1223189174 +2009-11,Poverty 15-20%,0.1057974516 +2009-12,Poverty 15-20%,0.0711001523 +2010-01,Poverty 15-20%,0.06135154075 +2010-2,Poverty 15-20%,0.1157583433 +2010-3,Poverty 15-20%,0.1534000728 +2010-4,Poverty 15-20%,0.1511833521 +2010-05,Poverty 15-20%,0.233856081 +2010-06,Poverty 15-20%,0.3252219311 +2010-07,Poverty 15-20%,0.3650967229 +2010-08,Poverty 15-20%,0.2791256872 +2010-09,Poverty 15-20%,0.215174674 +2010-10,Poverty 15-20%,0.1306199274 +2010-11,Poverty 15-20%,0.1007384972 +2010-12,Poverty 15-20%,0.1120296054 +2011-01,Poverty 15-20%,0.09156993006 +2011-02,Poverty 15-20%,0.09182892291 +2011-3,Poverty 15-20%,0.1368523839 +2011-4,Poverty 15-20%,0.1786238587 +2011-5,Poverty 15-20%,0.1964092363 +2011-06,Poverty 15-20%,0.282418408 +2011-07,Poverty 15-20%,0.3212068415 +2011-08,Poverty 15-20%,0.2678176081 +2011-09,Poverty 15-20%,0.2038325037 +2011-10,Poverty 15-20%,0.119373225 +2011-11,Poverty 15-20%,0.1023170847 +2011-12,Poverty 15-20%,0.1456168993 +2012-01,Poverty 15-20%,0.07705087506 +2012-02,Poverty 15-20%,0.1721725895 +2012-3,Poverty 15-20%,0.1042187204 +2012-4,Poverty 15-20%,0.1737679859 +2012-5,Poverty 15-20%,0.3071367721 +2012-06,Poverty 15-20%,0.3301902848 +2012-07,Poverty 15-20%,0.3083117212 +2012-08,Poverty 15-20%,0.2704272224 +2012-09,Poverty 15-20%,0.2062219731 +2012-10,Poverty 15-20%,0.1564089385 +2012-11,Poverty 15-20%,0.0947255774 +2012-12,Poverty 15-20%,0.07516111829 +2013-01,Poverty 15-20%,0.1058897171 +2013-02,Poverty 15-20%,0.1007027796 +2013-03,Poverty 15-20%,0.1405808901 +2013-4,Poverty 15-20%,0.1951156102 +2013-5,Poverty 15-20%,0.1904645653 +2013-6,Poverty 15-20%,0.229393705 +2013-07,Poverty 15-20%,0.2936270805 +2013-08,Poverty 15-20%,0.3188614667 +2013-09,Poverty 15-20%,0.2130452309 +2013-10,Poverty 15-20%,0.1256624583 +2013-11,Poverty 15-20%,0.1195064817 +2013-12,Poverty 15-20%,0.07970226601 +2014-01,Poverty 15-20%,0.05815293192 +2014-02,Poverty 15-20%,0.1467849628 +2014-03,Poverty 15-20%,0.1725474136 +2014-4,Poverty 15-20%,0.1649690476 +2014-5,Poverty 15-20%,0.1613768491 +2014-6,Poverty 15-20%,0.2453724266 +2014-07,Poverty 15-20%,0.3791659044 +2014-08,Poverty 15-20%,0.3363334112 +2014-09,Poverty 15-20%,0.2975903716 +2014-10,Poverty 15-20%,0.1366680667 +2014-11,Poverty 15-20%,0.083344235 +2014-12,Poverty 15-20%,0.1088377173 +2015-01,Poverty 15-20%,0.08211566102 +2015-02,Poverty 15-20%,0.1473226721 +2015-03,Poverty 15-20%,0.1620882911 +2015-04,Poverty 15-20%,0.1886291975 +2015-5,Poverty 15-20%,0.2478234387 +2015-6,Poverty 15-20%,0.3008498838 +2015-7,Poverty 15-20%,0.2797519191 +2015-08,Poverty 15-20%,0.2549986594 +2015-09,Poverty 15-20%,0.2239282514 +2015-10,Poverty 15-20%,0.127757305 +2015-11,Poverty 15-20%,0.09894036575 +2015-12,Poverty 15-20%,0.09976655266 +2016-01,Poverty 15-20%,0.0814782454 +2016-02,Poverty 15-20%,0.09263520574 +2016-03,Poverty 15-20%,0.1482076939 +2016-04,Poverty 15-20%,0.1641734708 +2016-5,Poverty 15-20%,0.1860275031 +2016-6,Poverty 15-20%,0.2912877705 +2016-7,Poverty 15-20%,0.3330040582 +2016-08,Poverty 15-20%,0.2833797204 +2016-09,Poverty 15-20%,0.2152152582 +2016-10,Poverty 15-20%,0.1309568614 +2016-11,Poverty 15-20%,0.09880956044 +2016-12,Poverty 15-20%,0.130222127 +2017-01,Poverty 15-20%,0.06965260936 +2017-02,Poverty 15-20%,0.1364382046 +2017-03,Poverty 15-20%,0.1662411704 +2017-04,Poverty 15-20%,0.1341242448 +2017-05,Poverty 15-20%,0.1350135788 +2017-6,Poverty 15-20%,0.3196671636 +2017-7,Poverty 15-20%,0.3319524585 +2017-8,Poverty 15-20%,0.3058910879 +2017-09,Poverty 15-20%,0.2799556011 +2017-10,Poverty 15-20%,0.1372252526 +2017-11,Poverty 15-20%,0.1345876225 +2017-12,Poverty 15-20%,0.07633121581 +2018-01,Poverty 15-20%,0.09199066722 +2018-02,Poverty 15-20%,0.3540691057 +2018-03,Poverty 15-20%,0.1455009679 +2018-04,Poverty 15-20%,0.169327893 +2018-05,Poverty 15-20%,0.2211473317 +2018-6,Poverty 15-20%,0.3129276362 +2018-7,Poverty 15-20%,0.3140743698 +2018-8,Poverty 15-20%,0.3058878371 +2018-09,Poverty 15-20%,0.2413806749 +2018-10,Poverty 15-20%,0.1247529076 +2018-11,Poverty 15-20%,0.1009578935 +2018-12,Poverty 15-20%,0.07293144626 +2019-01,Poverty 15-20%,0.1053550791 +2019-02,Poverty 15-20%,0.1235884664 +2019-03,Poverty 15-20%,0.120747523 +2019-04,Poverty 15-20%,0.1114100954 +2019-05,Poverty 15-20%,0.2464837332 +2019-06,Poverty 15-20%,0.2309521059 +2019-7,Poverty 15-20%,0.2468224291 +2019-8,Poverty 15-20%,0.3730250044 +2019-9,Poverty 15-20%,0.2509740475 +2019-10,Poverty 15-20%,0.175737084 +2019-11,Poverty 15-20%,0.1037509942 +2019-12,Poverty 15-20%,0.06784707266 +2000-02,Poverty 20%+,0.05835555556 +2000-03,Poverty 20%+,0.1227449361 +2000-04,Poverty 20%+,0.1414871335 +2000-05,Poverty 20%+,0.231814164 +2000-06,Poverty 20%+,0.2673898156 +2000-07,Poverty 20%+,0.1772537077 +2000-08,Poverty 20%+,0.2937680256 +2000-09,Poverty 20%+,0.2052569116 +2000-10,Poverty 20%+,0.2008271819 +2000-11,Poverty 20%+,0.1007899038 +2000-12,Poverty 20%+,0.07094922526 +2001-01,Poverty 20%+,0.1040842193 +2001-02,Poverty 20%+,0.1286510199 +2001-03,Poverty 20%+,0.1326321017 +2001-04,Poverty 20%+,0.2133571466 +2001-05,Poverty 20%+,0.2476138006 +2001-06,Poverty 20%+,0.3806832151 +2001-07,Poverty 20%+,0.2707768559 +2001-08,Poverty 20%+,0.2735848952 +2001-09,Poverty 20%+,0.1433864072 +2001-10,Poverty 20%+,0.09887915648 +2001-11,Poverty 20%+,0.1763166254 +2001-12,Poverty 20%+,0.0668741119 +2002-01,Poverty 20%+,0.06866765062 +2002-02,Poverty 20%+,0.0798235983 +2002-03,Poverty 20%+,0.1136233534 +2002-04,Poverty 20%+,0.2606216146 +2002-05,Poverty 20%+,0.2108116452 +2002-06,Poverty 20%+,0.3893872523 +2002-07,Poverty 20%+,0.332292488 +2002-08,Poverty 20%+,0.3666090401 +2002-09,Poverty 20%+,0.3001766786 +2002-10,Poverty 20%+,0.1481540519 +2002-11,Poverty 20%+,0.08424311329 +2002-12,Poverty 20%+,0.08791649831 +2003-1,Poverty 20%+,0.08656036149 +2003-02,Poverty 20%+,0.09770057791 +2003-03,Poverty 20%+,0.1444015047 +2003-04,Poverty 20%+,0.1640113664 +2003-05,Poverty 20%+,0.2820094541 +2003-06,Poverty 20%+,0.286643005 +2003-07,Poverty 20%+,0.3061484504 +2003-08,Poverty 20%+,0.381383985 +2003-09,Poverty 20%+,0.2013368775 +2003-10,Poverty 20%+,0.1126970382 +2003-11,Poverty 20%+,0.1102264833 +2003-12,Poverty 20%+,0.07790040982 +2004-1,Poverty 20%+,0.08993958804 +2004-02,Poverty 20%+,0.1467942125 +2004-03,Poverty 20%+,0.1341563135 +2004-04,Poverty 20%+,0.1807820459 +2004-05,Poverty 20%+,0.1980923905 +2004-06,Poverty 20%+,0.3520337708 +2004-07,Poverty 20%+,0.2998731917 +2004-08,Poverty 20%+,0.2637177259 +2004-09,Poverty 20%+,0.2272629283 +2004-10,Poverty 20%+,0.1623103239 +2004-11,Poverty 20%+,0.07142040321 +2004-12,Poverty 20%+,0.06260113966 +2005-1,Poverty 20%+,0.08450055562 +2005-2,Poverty 20%+,0.1526122195 +2005-03,Poverty 20%+,0.1215146005 +2005-04,Poverty 20%+,0.1462670002 +2005-05,Poverty 20%+,0.255176134 +2005-06,Poverty 20%+,0.2954599353 +2005-07,Poverty 20%+,0.3030498888 +2005-08,Poverty 20%+,0.2976896979 +2005-09,Poverty 20%+,0.2757976153 +2005-10,Poverty 20%+,0.1337531841 +2005-11,Poverty 20%+,0.08342318908 +2005-12,Poverty 20%+,0.08486175768 +2006-1,Poverty 20%+,0.07641138437 +2006-2,Poverty 20%+,0.1073506269 +2006-03,Poverty 20%+,0.1672426917 +2006-04,Poverty 20%+,0.2224634455 +2006-05,Poverty 20%+,0.1676535293 +2006-06,Poverty 20%+,0.2879248105 +2006-07,Poverty 20%+,0.3554842703 +2006-08,Poverty 20%+,0.275603936 +2006-09,Poverty 20%+,0.2008672912 +2006-10,Poverty 20%+,0.1696462166 +2006-11,Poverty 20%+,0.08732145547 +2006-12,Poverty 20%+,0.07043734951 +2007-1,Poverty 20%+,0.09322627528 +2007-2,Poverty 20%+,0.09191309659 +2007-3,Poverty 20%+,0.1483047944 +2007-04,Poverty 20%+,0.1675161025 +2007-05,Poverty 20%+,0.3058332905 +2007-06,Poverty 20%+,0.3474391062 +2007-07,Poverty 20%+,0.3908466244 +2007-08,Poverty 20%+,0.3684440063 +2007-09,Poverty 20%+,0.238816245 +2007-10,Poverty 20%+,0.1063574711 +2007-11,Poverty 20%+,0.2085025822 +2007-12,Poverty 20%+,0.08645785482 +2008-1,Poverty 20%+,0.08188934531 +2008-2,Poverty 20%+,0.1079972876 +2008-3,Poverty 20%+,0.1480063102 +2008-04,Poverty 20%+,0.1502794491 +2008-05,Poverty 20%+,0.1907744409 +2008-06,Poverty 20%+,0.322635659 +2008-07,Poverty 20%+,0.2242238866 +2008-08,Poverty 20%+,0.3236465313 +2008-09,Poverty 20%+,0.1931890421 +2008-10,Poverty 20%+,0.1170092342 +2008-11,Poverty 20%+,0.1108711459 +2008-12,Poverty 20%+,0.0531681952 +2009-01,Poverty 20%+,0.07732269443 +2009-2,Poverty 20%+,0.08824251474 +2009-3,Poverty 20%+,0.1531742461 +2009-4,Poverty 20%+,0.124322614 +2009-05,Poverty 20%+,0.1901388538 +2009-06,Poverty 20%+,0.2316140043 +2009-07,Poverty 20%+,0.2812404392 +2009-08,Poverty 20%+,0.2956766638 +2009-09,Poverty 20%+,0.4614418292 +2009-10,Poverty 20%+,0.1212029112 +2009-11,Poverty 20%+,0.1012127344 +2009-12,Poverty 20%+,0.07123586262 +2010-01,Poverty 20%+,0.06231030407 +2010-2,Poverty 20%+,0.1091864432 +2010-3,Poverty 20%+,0.1503371 +2010-4,Poverty 20%+,0.1355340598 +2010-05,Poverty 20%+,0.2225705907 +2010-06,Poverty 20%+,0.3192709612 +2010-07,Poverty 20%+,0.3468311725 +2010-08,Poverty 20%+,0.2753391525 +2010-09,Poverty 20%+,0.2026274033 +2010-10,Poverty 20%+,0.1272592352 +2010-11,Poverty 20%+,0.09645547298 +2010-12,Poverty 20%+,0.1096859965 +2011-01,Poverty 20%+,0.08697314668 +2011-02,Poverty 20%+,0.09762420017 +2011-3,Poverty 20%+,0.1368562656 +2011-4,Poverty 20%+,0.1822695328 +2011-5,Poverty 20%+,0.1905320177 +2011-06,Poverty 20%+,0.2896204262 +2011-07,Poverty 20%+,0.3264119554 +2011-08,Poverty 20%+,0.267558487 +2011-09,Poverty 20%+,0.2119283219 +2011-10,Poverty 20%+,0.1141835512 +2011-11,Poverty 20%+,0.09801317483 +2011-12,Poverty 20%+,0.1352812279 +2012-01,Poverty 20%+,0.07632817868 +2012-02,Poverty 20%+,0.1571728824 +2012-3,Poverty 20%+,0.0957754377 +2012-4,Poverty 20%+,0.1607741647 +2012-5,Poverty 20%+,0.2933027562 +2012-06,Poverty 20%+,0.3230133931 +2012-07,Poverty 20%+,0.2987409831 +2012-08,Poverty 20%+,0.2739806867 +2012-09,Poverty 20%+,0.197784285 +2012-10,Poverty 20%+,0.153482063 +2012-11,Poverty 20%+,0.095510866 +2012-12,Poverty 20%+,0.07507771709 +2013-01,Poverty 20%+,0.1052114726 +2013-02,Poverty 20%+,0.09452198709 +2013-03,Poverty 20%+,0.1327788089 +2013-4,Poverty 20%+,0.1786729976 +2013-5,Poverty 20%+,0.1867032697 +2013-6,Poverty 20%+,0.2327998561 +2013-07,Poverty 20%+,0.3045384943 +2013-08,Poverty 20%+,0.297572341 +2013-09,Poverty 20%+,0.1977098329 +2013-10,Poverty 20%+,0.1197580614 +2013-11,Poverty 20%+,0.1112799262 +2013-12,Poverty 20%+,0.07811639591 +2014-01,Poverty 20%+,0.05719353919 +2014-02,Poverty 20%+,0.1367708845 +2014-03,Poverty 20%+,0.1678092935 +2014-4,Poverty 20%+,0.1553846482 +2014-5,Poverty 20%+,0.1586962713 +2014-6,Poverty 20%+,0.22756959 +2014-07,Poverty 20%+,0.3563968199 +2014-08,Poverty 20%+,0.3108583451 +2014-09,Poverty 20%+,0.2837321232 +2014-10,Poverty 20%+,0.1300947647 +2014-11,Poverty 20%+,0.07965418176 +2014-12,Poverty 20%+,0.1116290342 +2015-01,Poverty 20%+,0.07494473716 +2015-02,Poverty 20%+,0.145326926 +2015-03,Poverty 20%+,0.1469957687 +2015-04,Poverty 20%+,0.1744474479 +2015-5,Poverty 20%+,0.2480038372 +2015-6,Poverty 20%+,0.2929298215 +2015-7,Poverty 20%+,0.2645635588 +2015-08,Poverty 20%+,0.2442745556 +2015-09,Poverty 20%+,0.2170688579 +2015-10,Poverty 20%+,0.1265727248 +2015-11,Poverty 20%+,0.09490425878 +2015-12,Poverty 20%+,0.096898835 +2016-01,Poverty 20%+,0.07457964075 +2016-02,Poverty 20%+,0.08918065851 +2016-03,Poverty 20%+,0.1395300183 +2016-04,Poverty 20%+,0.1530605582 +2016-5,Poverty 20%+,0.1830538692 +2016-6,Poverty 20%+,0.2766453275 +2016-7,Poverty 20%+,0.3276712755 +2016-08,Poverty 20%+,0.2580491968 +2016-09,Poverty 20%+,0.2133973114 +2016-10,Poverty 20%+,0.1262171578 +2016-11,Poverty 20%+,0.1006922148 +2016-12,Poverty 20%+,0.1268807201 +2017-01,Poverty 20%+,0.06511793702 +2017-02,Poverty 20%+,0.1275887972 +2017-03,Poverty 20%+,0.1622874483 +2017-04,Poverty 20%+,0.1340580559 +2017-05,Poverty 20%+,0.1241336643 +2017-6,Poverty 20%+,0.298308732 +2017-7,Poverty 20%+,0.3051728566 +2017-8,Poverty 20%+,0.3025768645 +2017-09,Poverty 20%+,0.2895018213 +2017-10,Poverty 20%+,0.1246616512 +2017-11,Poverty 20%+,0.1297066685 +2017-12,Poverty 20%+,0.08017741916 +2018-01,Poverty 20%+,0.09135746023 +2018-02,Poverty 20%+,0.2946605691 +2018-03,Poverty 20%+,0.1407832252 +2018-04,Poverty 20%+,0.1602369497 +2018-05,Poverty 20%+,0.2137041566 +2018-6,Poverty 20%+,0.304105346 +2018-7,Poverty 20%+,0.307681211 +2018-8,Poverty 20%+,0.2972232554 +2018-09,Poverty 20%+,0.2172382815 +2018-10,Poverty 20%+,0.1142952804 +2018-11,Poverty 20%+,0.09873877316 +2018-12,Poverty 20%+,0.06786515561 +2019-01,Poverty 20%+,0.1005121723 +2019-02,Poverty 20%+,0.1246690736 +2019-03,Poverty 20%+,0.1226646292 +2019-04,Poverty 20%+,0.1059798221 +2019-05,Poverty 20%+,0.2248243753 +2019-06,Poverty 20%+,0.2210587043 +2019-7,Poverty 20%+,0.2445559227 +2019-8,Poverty 20%+,0.3722271402 +2019-9,Poverty 20%+,0.2339225205 +2019-10,Poverty 20%+,0.1647226067 +2019-11,Poverty 20%+,0.1006533335 +2019-12,Poverty 20%+,0.06771173441 \ No newline at end of file diff --git a/stories/baytown_adjusted.csv b/stories/baytown_adjusted.csv new file mode 100644 index 000000000..2e0ad867e --- /dev/null +++ b/stories/baytown_adjusted.csv @@ -0,0 +1,477 @@ +Date,source,Mean AOD +2000-03,AOD,0.206085271 +2000-04,AOD,0.207946201 +2000-05,AOD,0.299203474 +2000-06,AOD,0.309516028 +2000-07,AOD,0.264753541 +2000-08,AOD,0.289357177 +2000-09,AOD,0.21840898 +2000-10,AOD,0.214128835 +2000-11,AOD,0.137507196 +2000-12,AOD,0.14879121 +2001-01,AOD,0.139036978 +2001-02,AOD,0.17615009 +2001-03,AOD,0.227825887 +2001-04,AOD,0.26676864 +2001-05,AOD,0.269810973 +2001-06,AOD,0.367151419 +2001-07,AOD,0.313354661 +2001-08,AOD,0.310529801 +2001-09,AOD,0.163867403 +2001-10,AOD,0.17536978 +2001-11,AOD,0.230641125 +2001-12,AOD,0.150906576 +2002-01,AOD,0.158862665 +2002-02,AOD,0.123890487 +2002-03,AOD,0.149385725 +2002-04,AOD,0.30401338 +2002-05,AOD,0.299387231 +2002-06,AOD,0.321888483 +2002-07,AOD,0.322447065 +2002-08,AOD,0.373623274 +2002-09,AOD,0.249993862 +2002-10,AOD,0.185193146 +2002-11,AOD,0.163034957 +2002-12,AOD,0.151435994 +2003-01,AOD,0.152778682 +2003-02,AOD,0.139576367 +2003-03,AOD,0.189926369 +2003-04,AOD,0.200779073 +2003-05,AOD,0.339269462 +2003-06,AOD,0.31865085 +2003-07,AOD,0.36168737 +2003-08,AOD,0.384262082 +2003-09,AOD,0.222304114 +2003-10,AOD,0.152861972 +2003-11,AOD,0.181736415 +2003-12,AOD,0.122678782 +2004-01,AOD,0.132539441 +2004-02,AOD,0.190837519 +2004-03,AOD,0.192944856 +2004-04,AOD,0.232260796 +2004-05,AOD,0.285606443 +2004-06,AOD,0.366925543 +2004-07,AOD,0.341579745 +2004-08,AOD,0.313358622 +2004-09,AOD,0.241093701 +2004-10,AOD,0.197699872 +2004-11,AOD,0.120299253 +2004-12,AOD,0.13398348 +2005-01,AOD,0.150200658 +2005-02,AOD,0.171774806 +2005-03,AOD,0.209928561 +2005-04,AOD,0.183718136 +2005-05,AOD,0.297045148 +2005-06,AOD,0.287921201 +2005-07,AOD,0.293193061 +2005-08,AOD,0.317502746 +2005-09,AOD,0.319783524 +2005-10,AOD,0.194522316 +2005-11,AOD,0.157332278 +2005-12,AOD,0.125763905 +2006-01,AOD,0.140815645 +2006-02,AOD,0.155781546 +2006-03,AOD,0.219528287 +2006-04,AOD,0.237306811 +2006-05,AOD,0.253359425 +2006-06,AOD,0.305011189 +2006-07,AOD,0.322991609 +2006-08,AOD,0.321675708 +2006-09,AOD,0.213025122 +2006-10,AOD,0.2203351 +2006-11,AOD,0.155605641 +2006-12,AOD,0.129007734 +2007-01,AOD,0.155862984 +2007-02,AOD,0.172102321 +2007-03,AOD,0.187277057 +2007-04,AOD,0.25798864 +2007-05,AOD,0.338002731 +2007-06,AOD,0.34447346 +2007-07,AOD,0.412878738 +2007-08,AOD,0.331964725 +2007-09,AOD,0.275008541 +2007-10,AOD,0.162566054 +2007-11,AOD,0.252199995 +2007-12,AOD,0.135575849 +2008-01,AOD,0.140045333 +2008-02,AOD,0.164350277 +2008-03,AOD,0.197305183 +2008-04,AOD,0.260585105 +2008-05,AOD,0.284524142 +2008-06,AOD,0.274013163 +2008-07,AOD,0.259136384 +2008-08,AOD,0.353471644 +2008-09,AOD,0.231148681 +2008-10,AOD,0.157922868 +2008-11,AOD,0.148644209 +2008-12,AOD,0.126569984 +2009-01,AOD,0.126047146 +2009-02,AOD,0.138047335 +2009-03,AOD,0.190551752 +2009-04,AOD,0.15839961 +2009-05,AOD,0.256680024 +2009-06,AOD,0.253338591 +2009-07,AOD,0.304343532 +2009-08,AOD,0.316362785 +2009-09,AOD,0.372724794 +2009-10,AOD,0.178074386 +2009-11,AOD,0.169899845 +2009-12,AOD,0.124828661 +2010-01,AOD,0.121872853 +2010-02,AOD,0.212195815 +2010-03,AOD,0.239329106 +2010-04,AOD,0.224621101 +2010-05,AOD,0.243890127 +2010-06,AOD,0.267083707 +2010-07,AOD,0.347968479 +2010-08,AOD,0.307752242 +2010-09,AOD,0.200377128 +2010-10,AOD,0.171944775 +2010-11,AOD,0.142424459 +2010-12,AOD,0.161810403 +2011-01,AOD,0.13044463 +2011-02,AOD,0.140161289 +2011-03,AOD,0.182754446 +2011-04,AOD,0.228659563 +2011-05,AOD,0.237457793 +2011-06,AOD,0.267976321 +2011-07,AOD,0.277628904 +2011-08,AOD,0.278831069 +2011-09,AOD,0.243393233 +2011-10,AOD,0.166248368 +2011-11,AOD,0.169139147 +2011-12,AOD,0.170458117 +2012-01,AOD,0.136650748 +2012-02,AOD,0.208975614 +2012-03,AOD,0.190485026 +2012-04,AOD,0.233466202 +2012-05,AOD,0.335110488 +2012-06,AOD,0.393112833 +2012-07,AOD,0.309814849 +2012-08,AOD,0.316389365 +2012-09,AOD,0.225956552 +2012-10,AOD,0.191928665 +2012-11,AOD,0.136995197 +2012-12,AOD,0.115932703 +2013-01,AOD,0.147225761 +2013-02,AOD,0.146212933 +2013-03,AOD,0.183477172 +2013-04,AOD,0.226433805 +2013-05,AOD,0.244801018 +2013-06,AOD,0.246880745 +2013-07,AOD,0.295982437 +2013-08,AOD,0.33990931 +2013-09,AOD,0.218103531 +2013-10,AOD,0.151140595 +2013-11,AOD,0.169008028 +2013-12,AOD,0.113265267 +2014-01,AOD,0.117575394 +2014-02,AOD,0.168881874 +2014-03,AOD,0.201333036 +2014-04,AOD,0.23359141 +2014-05,AOD,0.240078059 +2014-06,AOD,0.258340732 +2014-07,AOD,0.399743496 +2014-08,AOD,0.327939689 +2014-09,AOD,0.292219927 +2014-10,AOD,0.156036739 +2014-11,AOD,0.126833414 +2014-12,AOD,0.152611297 +2015-01,AOD,0.123192804 +2015-02,AOD,0.169722512 +2015-03,AOD,0.214625111 +2015-04,AOD,0.262587566 +2015-05,AOD,0.297443938 +2015-06,AOD,0.304082845 +2015-07,AOD,0.281197554 +2015-08,AOD,0.305414964 +2015-09,AOD,0.200035505 +2015-10,AOD,0.165750448 +2015-11,AOD,0.184546694 +2015-12,AOD,0.147180205 +2016-01,AOD,0.186799979 +2016-02,AOD,0.156101924 +2016-03,AOD,0.185480043 +2016-04,AOD,0.203017921 +2016-05,AOD,0.287333438 +2016-06,AOD,0.286591172 +2016-07,AOD,0.280807255 +2016-08,AOD,0.256364366 +2016-09,AOD,0.182028579 +2016-10,AOD,0.143479027 +2016-11,AOD,0.141678903 +2016-12,AOD,0.171940143 +2017-01,AOD,0.144212768 +2017-02,AOD,0.19386162 +2017-03,AOD,0.213011811 +2017-04,AOD,0.196254045 +2017-05,AOD,0.202377897 +2017-06,AOD,0.310587984 +2017-07,AOD,0.293481591 +2017-08,AOD,0.265741926 +2017-09,AOD,0.30936522 +2017-10,AOD,0.162520876 +2017-11,AOD,0.15079746 +2017-12,AOD,0.10431873 +2018-01,AOD,0.137409806 +2018-02,AOD,0.299508471 +2018-03,AOD,0.199981192 +2018-04,AOD,0.228450443 +2018-05,AOD,0.243202421 +2018-06,AOD,0.25251476 +2018-07,AOD,0.329527299 +2018-08,AOD,0.327235779 +2018-09,AOD,0.229046667 +2018-10,AOD,0.158947228 +2018-11,AOD,0.187191953 +2018-12,AOD,0.168877251 +2019-01,AOD,0.216478987 +2019-02,AOD,0.154792902 +2019-03,AOD,0.172488013 +2019-04,AOD,0.18404074 +2019-05,AOD,0.287924852 +2019-06,AOD,0.272161807 +2019-07,AOD,0.267128845 +2019-08,AOD,0.350453081 +2019-09,AOD,0.264331041 +2019-10,AOD,0.19458518 +2019-11,AOD,0.136381571 +2019-12,AOD,0.113060152 +2000-03,Trendline,0.2 +2000-04,Trendline,0.199920682 +2000-05,Trendline,0.199841363 +2000-06,Trendline,0.199762045 +2000-07,Trendline,0.199682726 +2000-08,Trendline,0.199603408 +2000-09,Trendline,0.199524089 +2000-10,Trendline,0.19944477 +2000-11,Trendline,0.199365452 +2000-12,Trendline,0.199286133 +2001-01,Trendline,0.199206815 +2001-02,Trendline,0.199127496 +2001-03,Trendline,0.199048178 +2001-04,Trendline,0.198968859 +2001-05,Trendline,0.198889541 +2001-06,Trendline,0.198810222 +2001-07,Trendline,0.198730904 +2001-08,Trendline,0.198651585 +2001-09,Trendline,0.198572267 +2001-10,Trendline,0.198492948 +2001-11,Trendline,0.19841363 +2001-12,Trendline,0.198334311 +2002-01,Trendline,0.198254993 +2002-02,Trendline,0.198175674 +2002-03,Trendline,0.198096356 +2002-04,Trendline,0.198017037 +2002-05,Trendline,0.197937719 +2002-06,Trendline,0.1978584 +2002-07,Trendline,0.197779082 +2002-08,Trendline,0.197699763 +2002-09,Trendline,0.197620445 +2002-10,Trendline,0.197541126 +2002-11,Trendline,0.197461808 +2002-12,Trendline,0.197382489 +2003-01,Trendline,0.197303171 +2003-02,Trendline,0.197223852 +2003-03,Trendline,0.197144534 +2003-04,Trendline,0.197065215 +2003-05,Trendline,0.196985897 +2003-06,Trendline,0.196906578 +2003-07,Trendline,0.19682726 +2003-08,Trendline,0.196747941 +2003-09,Trendline,0.196668623 +2003-10,Trendline,0.196589304 +2003-11,Trendline,0.196509986 +2003-12,Trendline,0.196430667 +2004-01,Trendline,0.196351349 +2004-02,Trendline,0.19627203 +2004-03,Trendline,0.196192712 +2004-04,Trendline,0.196113393 +2004-05,Trendline,0.196034075 +2004-06,Trendline,0.195954756 +2004-07,Trendline,0.195875438 +2004-08,Trendline,0.195796119 +2004-09,Trendline,0.195716801 +2004-10,Trendline,0.195637482 +2004-11,Trendline,0.195558164 +2004-12,Trendline,0.195478845 +2005-01,Trendline,0.195399527 +2005-02,Trendline,0.195320208 +2005-03,Trendline,0.19524089 +2005-04,Trendline,0.195161571 +2005-05,Trendline,0.195082253 +2005-06,Trendline,0.195002934 +2005-07,Trendline,0.194923616 +2005-08,Trendline,0.194844297 +2005-09,Trendline,0.194764979 +2005-10,Trendline,0.19468566 +2005-11,Trendline,0.194606342 +2005-12,Trendline,0.194527023 +2006-01,Trendline,0.194447705 +2006-02,Trendline,0.194368386 +2006-03,Trendline,0.194289068 +2006-04,Trendline,0.194209749 +2006-05,Trendline,0.19413043 +2006-06,Trendline,0.194051112 +2006-07,Trendline,0.193971793 +2006-08,Trendline,0.193892475 +2006-09,Trendline,0.193813156 +2006-10,Trendline,0.193733838 +2006-11,Trendline,0.193654519 +2006-12,Trendline,0.193575201 +2007-01,Trendline,0.193495882 +2007-02,Trendline,0.193416564 +2007-03,Trendline,0.193337245 +2007-04,Trendline,0.193257927 +2007-05,Trendline,0.193178608 +2007-06,Trendline,0.19309929 +2007-07,Trendline,0.193019971 +2007-08,Trendline,0.192940653 +2007-09,Trendline,0.192861334 +2007-10,Trendline,0.192782016 +2007-11,Trendline,0.192702697 +2007-12,Trendline,0.192623379 +2008-01,Trendline,0.19254406 +2008-02,Trendline,0.192464742 +2008-03,Trendline,0.192385423 +2008-04,Trendline,0.192306105 +2008-05,Trendline,0.192226786 +2008-06,Trendline,0.192147468 +2008-07,Trendline,0.192068149 +2008-08,Trendline,0.191988831 +2008-09,Trendline,0.191909512 +2008-10,Trendline,0.191830194 +2008-11,Trendline,0.191750875 +2008-12,Trendline,0.191671557 +2009-01,Trendline,0.191592238 +2009-02,Trendline,0.19151292 +2009-03,Trendline,0.191433601 +2009-04,Trendline,0.191354283 +2009-05,Trendline,0.191274964 +2009-06,Trendline,0.191195646 +2009-07,Trendline,0.191116327 +2009-08,Trendline,0.191037009 +2009-09,Trendline,0.19095769 +2009-10,Trendline,0.190878372 +2009-11,Trendline,0.190799053 +2009-12,Trendline,0.190719735 +2010-01,Trendline,0.190640416 +2010-02,Trendline,0.190561098 +2010-03,Trendline,0.190481779 +2010-04,Trendline,0.190402461 +2010-05,Trendline,0.190323142 +2010-06,Trendline,0.190243824 +2010-07,Trendline,0.190164505 +2010-08,Trendline,0.190085187 +2010-09,Trendline,0.190005868 +2010-10,Trendline,0.18992655 +2010-11,Trendline,0.189847231 +2010-12,Trendline,0.189767913 +2011-01,Trendline,0.189688594 +2011-02,Trendline,0.189609276 +2011-03,Trendline,0.189529957 +2011-04,Trendline,0.189450639 +2011-05,Trendline,0.18937132 +2011-06,Trendline,0.189292002 +2011-07,Trendline,0.189212683 +2011-08,Trendline,0.189133365 +2011-09,Trendline,0.189054046 +2011-10,Trendline,0.188974727 +2011-11,Trendline,0.188895409 +2011-12,Trendline,0.18881609 +2012-01,Trendline,0.188736772 +2012-02,Trendline,0.188657453 +2012-03,Trendline,0.188578135 +2012-04,Trendline,0.188498816 +2012-05,Trendline,0.188419498 +2012-06,Trendline,0.188340179 +2012-07,Trendline,0.188260861 +2012-08,Trendline,0.188181542 +2012-09,Trendline,0.188102224 +2012-10,Trendline,0.188022905 +2012-11,Trendline,0.187943587 +2012-12,Trendline,0.187864268 +2013-01,Trendline,0.18778495 +2013-02,Trendline,0.187705631 +2013-03,Trendline,0.187626313 +2013-04,Trendline,0.187546994 +2013-05,Trendline,0.187467676 +2013-06,Trendline,0.187388357 +2013-07,Trendline,0.187309039 +2013-08,Trendline,0.18722972 +2013-09,Trendline,0.187150402 +2013-10,Trendline,0.187071083 +2013-11,Trendline,0.186991765 +2013-12,Trendline,0.186912446 +2014-01,Trendline,0.186833128 +2014-02,Trendline,0.186753809 +2014-03,Trendline,0.186674491 +2014-04,Trendline,0.186595172 +2014-05,Trendline,0.186515854 +2014-06,Trendline,0.186436535 +2014-07,Trendline,0.186357217 +2014-08,Trendline,0.186277898 +2014-09,Trendline,0.18619858 +2014-10,Trendline,0.186119261 +2014-11,Trendline,0.186039943 +2014-12,Trendline,0.185960624 +2015-01,Trendline,0.185881306 +2015-02,Trendline,0.185801987 +2015-03,Trendline,0.185722669 +2015-04,Trendline,0.18564335 +2015-05,Trendline,0.185564032 +2015-06,Trendline,0.185484713 +2015-07,Trendline,0.185405395 +2015-08,Trendline,0.185326076 +2015-09,Trendline,0.185246758 +2015-10,Trendline,0.185167439 +2015-11,Trendline,0.185088121 +2015-12,Trendline,0.185008802 +2016-01,Trendline,0.184929484 +2016-02,Trendline,0.184850165 +2016-03,Trendline,0.184770847 +2016-04,Trendline,0.184691528 +2016-05,Trendline,0.18461221 +2016-06,Trendline,0.184532891 +2016-07,Trendline,0.184453573 +2016-08,Trendline,0.184374254 +2016-09,Trendline,0.184294936 +2016-10,Trendline,0.184215617 +2016-11,Trendline,0.184136299 +2016-12,Trendline,0.18405698 +2017-01,Trendline,0.183977662 +2017-02,Trendline,0.183898343 +2017-03,Trendline,0.183819024 +2017-04,Trendline,0.183739706 +2017-05,Trendline,0.183660387 +2017-06,Trendline,0.183581069 +2017-07,Trendline,0.18350175 +2017-08,Trendline,0.183422432 +2017-09,Trendline,0.183343113 +2017-10,Trendline,0.183263795 +2017-11,Trendline,0.183184476 +2017-12,Trendline,0.183105158 +2018-01,Trendline,0.183025839 +2018-02,Trendline,0.182946521 +2018-03,Trendline,0.182867202 +2018-04,Trendline,0.182787884 +2018-05,Trendline,0.182708565 +2018-06,Trendline,0.182629247 +2018-07,Trendline,0.182549928 +2018-08,Trendline,0.18247061 +2018-09,Trendline,0.182391291 +2018-10,Trendline,0.182311973 +2018-11,Trendline,0.182232654 +2018-12,Trendline,0.182153336 +2019-01,Trendline,0.182074017 +2019-02,Trendline,0.181994699 +2019-03,Trendline,0.18191538 +2019-04,Trendline,0.181836062 +2019-05,Trendline,0.181756743 +2019-06,Trendline,0.181677425 +2019-07,Trendline,0.181598106 +2019-08,Trendline,0.181518788 +2019-09,Trendline,0.181439469 +2019-10,Trendline,0.181360151 +2019-11,Trendline,0.181280832 +2019-12,Trendline,0.181201514 diff --git a/stories/houston-aod.stories.mdx b/stories/houston-aod.stories.mdx new file mode 100644 index 000000000..dd09ab70b --- /dev/null +++ b/stories/houston-aod.stories.mdx @@ -0,0 +1,178 @@ +--- +id: 'houston-aod' +name: Aerosols and Their Impacts on Houston, TX +description: "A look into how aerosols affect those in and around Houston, TX." +media: + src: ::file ./steam-power-plant.png + alt: Smokestack from Power Plants + author: + name: Maxim Tolchinskiy + url: https://unsplash.com/photos/W3y2crFkVIs +pubDate: 2023-10-31 +taxonomy: + - name: Topics + values: + - Environmental Justice + - Air Quality +--- + + + + + Authors: Trent Cowan[1], Andrew Blackford[1], Udaysankar Nair[1] + + [1] University of Alabama in Huntsville(UAH) + + **Disclaimer**: Correlation of satellite-derived AOD and surface air quality varies by location meaning the proposed correlations in this data story require further investigation to be deemed science-quality + + ### Introduction + The Houston metropolitan area is the fourth most populous city in the United States and top-10 in terms of spatial extent. It’s well known that the impact cities can have on the surrounding environment correlates with the architectural characteristics and spatial extent of the city. Houston’s notably large spatial extent and high population pave the way for high levels of human-produced emissions within its transportation infrastructure. These emissions and its proximity to the Gulf of Mexico, make Houston especially susceptible to environmental changes related to urban development. + + A team of researchers from the University of Alabama in Huntsville temporally averaged daily Aerosol Optical Depth (AOD) measurements from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua satellites to evaluate decadal changes in AOD over the Houston metropolitan area. MODIS-derived AOD is the measure of aerosols (e.g. urban haze, smoke particles, dust, sea salt) distributed within a column of air from the space-based instrument to Earth's surface (adapted from NASA's Aerosol Robotic Network (AERONET) definition). From an observer on the ground, an AOD of less than 0.1 is characteristic of a clear sky, bright Sun, and maximum visibility. As AOD increases to 0.5, 1.0, and greater than 3.0, aerosols become so dense that the Sun is obscured. The team also utilizes urbanization data from the U.S. Geological Survey (USGS) National Land Cover Database (NLCD) Imperviousness dataset to visualize how Houston’s urban footprint has changed between 2001 and 2019. The combination of these data with socioeconomic data from NASA’s Socioeconomic Data and Applications Center (SEDAC) poverty level allow for insights on how urban growth in Houston impacted air quality and how those changes can vary by socioeconomic status (Dataset landing pages below). + + ### Air Quality and AOD + + Aerosols can have a variety of implications for the general public. In terms of air quality, aerosols can affect the air quality with high concentrations of pollutants that may pose a risk to public health. The highest risk comes from power plants where the level of emissions are the highest. In-situ measurements of aerosol concentrations, measurements taken at a fixed location, coupled with global satellite observations help scientists study air quality. AOD measured by the MODIS Terra and Aqua instruments is available globally every 1-2 days and aids researchers identify trends in aerosol concentrations to help inform decision makers. + + In recent years, pollution sources have been regulated by the Environmental Protection Agency (EPA) which has found ways to reduce the amount of emissions. The EPA established the National Ambient Air Quality Standards (NAAQS) to regulate emissions to better protect public health. The NAAQS included in the Clean Air Act provides regulation of pollutants such as carbon monoxide, sulfur dioxide among others. + + + + +
+ + + Figure 2: Aerosol Optical Depth Compared Decadally from 2000-2009 & 2010-2019. The map shown shows the change in AOD over the last 20 years over the Houston metropolitan area. + +
+ + ### Using Satellite Data to Study Aerosol Optical Depth + + With a focus on the Houston, Texas metropolitan area, satellite data from the MODIS Terra and Aqua instruments were used to showcase changes in emissions over the last 20 years. While changes in AOD are subtle across the entire metropolitan area, notable differences are observed in areas with the greatest change in urbanization. + + + + + + + ### Aerosol Optical Depth Compared to Houston Urbanization + + Temporal averages of AOD concentrations from 2000-2009 and 2010-2019 are used to infer insights in the changes in air quality for Houston, TX. Comparing the differences of these two time periods indicates that as the city limits have expanded over the last 20 years, AOD has increased along the leading edge of urban growth (Figure 3). As population grows in these regions, emissions from human activity typically increase resulting in higher aerosol concentrations and lower air quality. Alternatively, areas with little urban growth over the last 20 years do not show significant changes in aerosol concentrations. Note that while AOD changes in these areas are not significant, this does not necessarily mean that these areas have good air quality. For example, the area around the George Bush Intercontinental Airport (IAH) has high aerosol concentrations for the entire 20-year observational period associated with air traffic (scroll down for further analysis). AOD near Galveston Bay and along the Gulf Coast show a significant reduction in the aerosol concentrations potentially relating back to implementation of NAAQS (see current NAAQS table). Air quality standards for Sulfur Dioxide took effect in 2010 while Ozone and Particle Pollution took effect in December 2015 and could be reflected in decadally-averaged AOD measurements for 2010-2019. Using AOD measurements with socioeconomic data provides insights about how air quality has changed over the last 20 years and how different communities are affected by these changes. + + +
+ + + Figure 3: Aerosol Optical Depth Compared Decadally from 2000-2009 & 2010-2019 vs the Urbanization of the Houston metro from 2000-2019. The left portion of the map shows the subtracted difference in AOD over the last 20 years over the Houston metropolitan area. + +
+ + + + + + + ## AOD Timeseries for Galveston Bay + The monthly and spatially averaged time series of AOD for Galveston Bay (just east of downtown Houston) show a statistically significant (p < 0.005) decreasing trend in AOD from 2000 to 2019. Note the measure of statistical significance of p < 0.005 indicates that there is very high confidence the decreasing trend in AOD is real and not due to chance. This decreasing trend in AOD could potentially be attributed to air quality regulations implemented as a part of the Clean Air Act between 2010 and 2019. + + + + + ## AOD Timeseries for Western Houston + Unlike the Galveston Bay area, the monthly and spatially averaged time series of AOD for the Western Suburbs of Houston, TX shows a trend where there is a small, statistically insignificant increase over the time period of 2000 to 2019. Note that the spatial pattern of difference in decadal mean AOD between the second and first decade of this century shows a localized increase that correlates to urbanization. The small increase in AOD concentrations could be potentially explained by vehicular and other urban sources of pollution counteracting the effects of the Clean Air Act. + + + + + ## AOD Timseries for IAH + Over a 20-year observational period from 2000 to 2019, the area around George Bush Intercontinental Airport (IAH) in Houston maintained high aerosol concentrations, possibly due to air traffic. Consistently high aerosol concentrations in this region serve as a good example that changes in AOD do not correlate to air quality directly. + + + + + + + + + ### Socioeconomic Disparities + + The use of interdisciplinary data sources can further shed light on the intricate relationships between urbanization, socioeconomic disparities, and environmental effects. Within newly urbanized areas of Harris County, nearly 10% of a given census tract’s population meet the threshold of 150% poverty. In regions of highest AOD concentrations, this average percentage increases to 12%, indicating the potential for socioeconomic impacts of urban development in areas with higher pollution levels. + + Transportation is another metric that can provide insight into disproportionate socioeconomic impacts of urbanization. Within the newly urbanized areas of Harris County, an average of 3.8% of a given census tract’s population do not own vehicles. This percentage rises to 4.2% within newly urbanized regions marked by increased AOD concentration from 2000-2009 to 2010-2019. Such data underscores the broader challenges of transportation and accessibility for the economically disadvantaged in these urbanized and potentially more polluted zones. + + It should be noted that this initial analysis does not necessarily imply that urbanization causes disproportionate socioeconomic impacts. An alternative takeaway could be that urbanization is planned in regions of lower socioeconomic status, a potential indicator of locations where gentrification has occurred in the Houston metropolitan area. + + + + + + + ### Data Access + + * [NASA Description for MODIS MCD19A2](https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD19A2) + * [NLCD Imperviousness (CONUS) All Years](https://www.mrlc.gov/data/nlcd-imperviousness-conus-all-years) + * [CDC/ATSDR SVI Data and Documentation Download | Place and Health | ATSDR](https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html) + + ### Additional Resources + + * [NASA Air Quality Data Pathfinder](https://www.earthdata.nasa.gov/learn/pathfinders/air-quality-data-pathfinder) + * [NASA Health and Air Quality Backgrounder](https://www.earthdata.nasa.gov/learn/backgrounders/health-and-air-quality) + * [NASA Health and Air Quality Applied Sciences Team](https://haqast.org/) + * [NAAQS Table](https://www.epa.gov/criteria-air-pollutants/naaqs-table) + + + diff --git a/stories/steam-power-plant.png b/stories/steam-power-plant.png new file mode 100644 index 000000000..9b368a86d Binary files /dev/null and b/stories/steam-power-plant.png differ diff --git a/stories/west_houston_adjusted.csv b/stories/west_houston_adjusted.csv new file mode 100644 index 000000000..dbd666132 --- /dev/null +++ b/stories/west_houston_adjusted.csv @@ -0,0 +1,479 @@ +Date,source,Mean AOD +2000-02,AOD,0.052767165 +2000-03,AOD,0.108952006 +2000-04,AOD,0.131009588 +2000-05,AOD,0.289352549 +2000-06,AOD,0.29711575 +2000-07,AOD,0.14938468 +2000-08,AOD,0.253161408 +2000-09,AOD,0.165954429 +2000-10,AOD,0.201914473 +2000-11,AOD,0.116041478 +2000-12,AOD,0.091187626 +2001-01,AOD,0.122581617 +2001-02,AOD,0.126957345 +2001-03,AOD,0.147627507 +2001-04,AOD,0.240622065 +2001-05,AOD,0.249144538 +2001-06,AOD,0.310352195 +2001-07,AOD,0.253039421 +2001-08,AOD,0.264698786 +2001-09,AOD,0.162808852 +2001-10,AOD,0.101014715 +2001-11,AOD,0.157116199 +2001-12,AOD,0.07599395 +2002-01,AOD,0.071300895 +2002-02,AOD,0.070277722 +2002-03,AOD,0.127510799 +2002-04,AOD,0.294489817 +2002-05,AOD,0.187952262 +2002-06,AOD,0.406614681 +2002-07,AOD,0.315474535 +2002-08,AOD,0.339672656 +2002-09,AOD,0.269138136 +2002-10,AOD,0.150844081 +2002-11,AOD,0.078151803 +2002-12,AOD,0.088551348 +2003-01,AOD,0.097444986 +2003-02,AOD,0.107979104 +2003-03,AOD,0.145436708 +2003-04,AOD,0.146228646 +2003-05,AOD,0.27913622 +2003-06,AOD,0.251028562 +2003-07,AOD,0.302560266 +2003-08,AOD,0.35662724 +2003-09,AOD,0.205994375 +2003-10,AOD,0.117367884 +2003-11,AOD,0.10015637 +2003-12,AOD,0.079471513 +2004-01,AOD,0.091108385 +2004-02,AOD,0.147353353 +2004-03,AOD,0.12725684 +2004-04,AOD,0.162341506 +2004-05,AOD,0.202407424 +2004-06,AOD,0.324028095 +2004-07,AOD,0.256956135 +2004-08,AOD,0.257629632 +2004-09,AOD,0.2262881 +2004-10,AOD,0.135644959 +2004-11,AOD,0.075966291 +2004-12,AOD,0.062105709 +2005-01,AOD,0.091447617 +2005-02,AOD,0.162647597 +2005-03,AOD,0.119565371 +2005-04,AOD,0.144375104 +2005-05,AOD,0.24578115 +2005-06,AOD,0.285912852 +2005-07,AOD,0.270865766 +2005-08,AOD,0.323637964 +2005-09,AOD,0.263796181 +2005-10,AOD,0.117412877 +2005-11,AOD,0.088002364 +2005-12,AOD,0.096962095 +2006-01,AOD,0.074974239 +2006-02,AOD,0.105945321 +2006-03,AOD,0.174539084 +2006-04,AOD,0.220186689 +2006-05,AOD,0.149528805 +2006-06,AOD,0.264123718 +2006-07,AOD,0.333523732 +2006-08,AOD,0.275330999 +2006-09,AOD,0.190763364 +2006-10,AOD,0.180103637 +2006-11,AOD,0.077954115 +2006-12,AOD,0.058227964 +2007-01,AOD,0.099879806 +2007-02,AOD,0.097638567 +2007-03,AOD,0.152380595 +2007-04,AOD,0.173806956 +2007-05,AOD,0.326808035 +2007-06,AOD,0.314518649 +2007-07,AOD,0.400495394 +2007-08,AOD,0.369465004 +2007-09,AOD,0.250444008 +2007-10,AOD,0.102943967 +2007-11,AOD,0.192221119 +2007-12,AOD,0.08120911 +2008-01,AOD,0.08413881 +2008-02,AOD,0.106075029 +2008-03,AOD,0.141869979 +2008-04,AOD,0.139440039 +2008-05,AOD,0.170288559 +2008-06,AOD,0.281309567 +2008-07,AOD,0.203521972 +2008-08,AOD,0.27869866 +2008-09,AOD,0.19804018 +2008-10,AOD,0.117605798 +2008-11,AOD,0.099862479 +2008-12,AOD,0.043255568 +2009-01,AOD,0.07167565 +2009-02,AOD,0.096109461 +2009-03,AOD,0.13705167 +2009-04,AOD,0.128464736 +2009-05,AOD,0.205621234 +2009-06,AOD,0.211525334 +2009-07,AOD,0.22921093 +2009-08,AOD,0.247674342 +2009-09,AOD,0.452026404 +2009-10,AOD,0.118538811 +2009-11,AOD,0.102671663 +2009-12,AOD,0.073944985 +2010-01,AOD,0.057254793 +2010-02,AOD,0.118544075 +2010-03,AOD,0.1525481 +2010-04,AOD,0.127476251 +2010-05,AOD,0.230041658 +2010-06,AOD,0.28210776 +2010-07,AOD,0.315901917 +2010-08,AOD,0.260954922 +2010-09,AOD,0.174574771 +2010-10,AOD,0.117181652 +2010-11,AOD,0.092181427 +2010-12,AOD,0.120752319 +2011-01,AOD,0.092519972 +2011-02,AOD,0.10769443 +2011-03,AOD,0.145723408 +2011-04,AOD,0.187351952 +2011-05,AOD,0.190841066 +2011-06,AOD,0.278907259 +2011-07,AOD,0.314214789 +2011-08,AOD,0.24176435 +2011-09,AOD,0.215011389 +2011-10,AOD,0.106771555 +2011-11,AOD,0.093905239 +2011-12,AOD,0.147687822 +2012-01,AOD,0.084398746 +2012-02,AOD,0.168159019 +2012-03,AOD,0.106935943 +2012-04,AOD,0.162425199 +2012-05,AOD,0.298713546 +2012-06,AOD,0.320520846 +2012-07,AOD,0.297287432 +2012-08,AOD,0.263717164 +2012-09,AOD,0.190767927 +2012-10,AOD,0.144959603 +2012-11,AOD,0.096623908 +2012-12,AOD,0.073767097 +2013-01,AOD,0.096997982 +2013-02,AOD,0.095234419 +2013-03,AOD,0.14175596 +2013-04,AOD,0.197198253 +2013-05,AOD,0.204648266 +2013-06,AOD,0.210042526 +2013-07,AOD,0.276398031 +2013-08,AOD,0.261218614 +2013-09,AOD,0.173913806 +2013-10,AOD,0.115179043 +2013-11,AOD,0.117061059 +2013-12,AOD,0.078984993 +2014-01,AOD,0.058104429 +2014-02,AOD,0.135853555 +2014-03,AOD,0.180531706 +2014-04,AOD,0.139226035 +2014-05,AOD,0.157794921 +2014-06,AOD,0.238355934 +2014-07,AOD,0.34171558 +2014-08,AOD,0.287203045 +2014-09,AOD,0.265916337 +2014-10,AOD,0.128462887 +2014-11,AOD,0.07276597 +2014-12,AOD,0.118735601 +2015-01,AOD,0.080259176 +2015-02,AOD,0.152761116 +2015-03,AOD,0.118973784 +2015-04,AOD,0.176075956 +2015-05,AOD,0.256259024 +2015-06,AOD,0.31543567 +2015-07,AOD,0.258849844 +2015-08,AOD,0.221255162 +2015-09,AOD,0.207836919 +2015-10,AOD,0.117808485 +2015-11,AOD,0.092945698 +2015-12,AOD,0.093771477 +2016-01,AOD,0.0722248 +2016-02,AOD,0.086243742 +2016-03,AOD,0.140237776 +2016-04,AOD,0.15818893 +2016-05,AOD,0.192287708 +2016-06,AOD,0.264474509 +2016-07,AOD,0.326774357 +2016-08,AOD,0.23493805 +2016-09,AOD,0.211392378 +2016-10,AOD,0.11777473 +2016-11,AOD,0.105583798 +2016-12,AOD,0.143077959 +2017-01,AOD,0.065107397 +2017-02,AOD,0.123309802 +2017-03,AOD,0.161446266 +2017-04,AOD,0.151128828 +2017-05,AOD,0.109838821 +2017-06,AOD,0.344848725 +2017-07,AOD,0.279950779 +2017-08,AOD,0.300818647 +2017-09,AOD,0.278171984 +2017-10,AOD,0.119836105 +2017-11,AOD,0.124309392 +2017-12,AOD,0.082658156 +2018-01,AOD,0.092400519 +2018-02,AOD,0.375608708 +2018-03,AOD,0.135768394 +2018-04,AOD,0.171793258 +2018-05,AOD,0.195614452 +2018-06,AOD,0.302425174 +2018-07,AOD,0.294650651 +2018-08,AOD,0.26304111 +2018-09,AOD,0.234473834 +2018-10,AOD,0.129900735 +2018-11,AOD,0.080349159 +2018-12,AOD,0.071094522 +2019-01,AOD,0.111548348 +2019-02,AOD,0.108452598 +2019-03,AOD,0.118015723 +2019-04,AOD,0.112516145 +2019-05,AOD,0.254479138 +2019-06,AOD,0.231423765 +2019-07,AOD,0.2395551 +2019-08,AOD,0.322268649 +2019-09,AOD,0.221554108 +2019-10,AOD,0.162546269 +2019-11,AOD,0.102063887 +2019-12,AOD,0.06692136 +2000-02,Trendline,0.194 +2000-03,Trendline,0.193988714 +2000-04,Trendline,0.193977429 +2000-05,Trendline,0.193966143 +2000-06,Trendline,0.193954857 +2000-07,Trendline,0.193943571 +2000-08,Trendline,0.193932286 +2000-09,Trendline,0.193921 +2000-10,Trendline,0.193909714 +2000-11,Trendline,0.193898428 +2000-12,Trendline,0.193887143 +2001-01,Trendline,0.193875857 +2001-02,Trendline,0.193864571 +2001-03,Trendline,0.193853285 +2001-04,Trendline,0.193842 +2001-05,Trendline,0.193830714 +2001-06,Trendline,0.193819428 +2001-07,Trendline,0.193808142 +2001-08,Trendline,0.193796857 +2001-09,Trendline,0.193785571 +2001-10,Trendline,0.193774285 +2001-11,Trendline,0.193762999 +2001-12,Trendline,0.193751714 +2002-01,Trendline,0.193740428 +2002-02,Trendline,0.193729142 +2002-03,Trendline,0.193717856 +2002-04,Trendline,0.193706571 +2002-05,Trendline,0.193695285 +2002-06,Trendline,0.193683999 +2002-07,Trendline,0.193672713 +2002-08,Trendline,0.193661428 +2002-09,Trendline,0.193650142 +2002-10,Trendline,0.193638856 +2002-11,Trendline,0.19362757 +2002-12,Trendline,0.193616285 +2003-01,Trendline,0.193604999 +2003-02,Trendline,0.193593713 +2003-03,Trendline,0.193582427 +2003-04,Trendline,0.193571142 +2003-05,Trendline,0.193559856 +2003-06,Trendline,0.19354857 +2003-07,Trendline,0.193537284 +2003-08,Trendline,0.193525999 +2003-09,Trendline,0.193514713 +2003-10,Trendline,0.193503427 +2003-11,Trendline,0.193492141 +2003-12,Trendline,0.193480856 +2004-01,Trendline,0.19346957 +2004-02,Trendline,0.193458284 +2004-03,Trendline,0.193446999 +2004-04,Trendline,0.193435713 +2004-05,Trendline,0.193424427 +2004-06,Trendline,0.193413141 +2004-07,Trendline,0.193401856 +2004-08,Trendline,0.19339057 +2004-09,Trendline,0.193379284 +2004-10,Trendline,0.193367998 +2004-11,Trendline,0.193356713 +2004-12,Trendline,0.193345427 +2005-01,Trendline,0.193334141 +2005-02,Trendline,0.193322855 +2005-03,Trendline,0.19331157 +2005-04,Trendline,0.193300284 +2005-05,Trendline,0.193288998 +2005-06,Trendline,0.193277712 +2005-07,Trendline,0.193266427 +2005-08,Trendline,0.193255141 +2005-09,Trendline,0.193243855 +2005-10,Trendline,0.193232569 +2005-11,Trendline,0.193221284 +2005-12,Trendline,0.193209998 +2006-01,Trendline,0.193198712 +2006-02,Trendline,0.193187426 +2006-03,Trendline,0.193176141 +2006-04,Trendline,0.193164855 +2006-05,Trendline,0.193153569 +2006-06,Trendline,0.193142283 +2006-07,Trendline,0.193130998 +2006-08,Trendline,0.193119712 +2006-09,Trendline,0.193108426 +2006-10,Trendline,0.19309714 +2006-11,Trendline,0.193085855 +2006-12,Trendline,0.193074569 +2007-01,Trendline,0.193063283 +2007-02,Trendline,0.193051997 +2007-03,Trendline,0.193040712 +2007-04,Trendline,0.193029426 +2007-05,Trendline,0.19301814 +2007-06,Trendline,0.193006854 +2007-07,Trendline,0.192995569 +2007-08,Trendline,0.192984283 +2007-09,Trendline,0.192972997 +2007-10,Trendline,0.192961711 +2007-11,Trendline,0.192950426 +2007-12,Trendline,0.19293914 +2008-01,Trendline,0.192927854 +2008-02,Trendline,0.192916568 +2008-03,Trendline,0.192905283 +2008-04,Trendline,0.192893997 +2008-05,Trendline,0.192882711 +2008-06,Trendline,0.192871425 +2008-07,Trendline,0.19286014 +2008-08,Trendline,0.192848854 +2008-09,Trendline,0.192837568 +2008-10,Trendline,0.192826282 +2008-11,Trendline,0.192814997 +2008-12,Trendline,0.192803711 +2009-01,Trendline,0.192792425 +2009-02,Trendline,0.192781139 +2009-03,Trendline,0.192769854 +2009-04,Trendline,0.192758568 +2009-05,Trendline,0.192747282 +2009-06,Trendline,0.192735997 +2009-07,Trendline,0.192724711 +2009-08,Trendline,0.192713425 +2009-09,Trendline,0.192702139 +2009-10,Trendline,0.192690854 +2009-11,Trendline,0.192679568 +2009-12,Trendline,0.192668282 +2010-01,Trendline,0.192656996 +2010-02,Trendline,0.192645711 +2010-03,Trendline,0.192634425 +2010-04,Trendline,0.192623139 +2010-05,Trendline,0.192611853 +2010-06,Trendline,0.192600568 +2010-07,Trendline,0.192589282 +2010-08,Trendline,0.192577996 +2010-09,Trendline,0.19256671 +2010-10,Trendline,0.192555425 +2010-11,Trendline,0.192544139 +2010-12,Trendline,0.192532853 +2011-01,Trendline,0.192521567 +2011-02,Trendline,0.192510282 +2011-03,Trendline,0.192498996 +2011-04,Trendline,0.19248771 +2011-05,Trendline,0.192476424 +2011-06,Trendline,0.192465139 +2011-07,Trendline,0.192453853 +2011-08,Trendline,0.192442567 +2011-09,Trendline,0.192431281 +2011-10,Trendline,0.192419996 +2011-11,Trendline,0.19240871 +2011-12,Trendline,0.192397424 +2012-01,Trendline,0.192386138 +2012-02,Trendline,0.192374853 +2012-03,Trendline,0.192363567 +2012-04,Trendline,0.192352281 +2012-05,Trendline,0.192340995 +2012-06,Trendline,0.19232971 +2012-07,Trendline,0.192318424 +2012-08,Trendline,0.192307138 +2012-09,Trendline,0.192295852 +2012-10,Trendline,0.192284567 +2012-11,Trendline,0.192273281 +2012-12,Trendline,0.192261995 +2013-01,Trendline,0.192250709 +2013-02,Trendline,0.192239424 +2013-03,Trendline,0.192228138 +2013-04,Trendline,0.192216852 +2013-05,Trendline,0.192205566 +2013-06,Trendline,0.192194281 +2013-07,Trendline,0.192182995 +2013-08,Trendline,0.192171709 +2013-09,Trendline,0.192160423 +2013-10,Trendline,0.192149138 +2013-11,Trendline,0.192137852 +2013-12,Trendline,0.192126566 +2014-01,Trendline,0.19211528 +2014-02,Trendline,0.192103995 +2014-03,Trendline,0.192092709 +2014-04,Trendline,0.192081423 +2014-05,Trendline,0.192070138 +2014-06,Trendline,0.192058852 +2014-07,Trendline,0.192047566 +2014-08,Trendline,0.19203628 +2014-09,Trendline,0.192024995 +2014-10,Trendline,0.192013709 +2014-11,Trendline,0.192002423 +2014-12,Trendline,0.191991137 +2015-01,Trendline,0.191979852 +2015-02,Trendline,0.191968566 +2015-03,Trendline,0.19195728 +2015-04,Trendline,0.191945994 +2015-05,Trendline,0.191934709 +2015-06,Trendline,0.191923423 +2015-07,Trendline,0.191912137 +2015-08,Trendline,0.191900851 +2015-09,Trendline,0.191889566 +2015-10,Trendline,0.19187828 +2015-11,Trendline,0.191866994 +2015-12,Trendline,0.191855708 +2016-01,Trendline,0.191844423 +2016-02,Trendline,0.191833137 +2016-03,Trendline,0.191821851 +2016-04,Trendline,0.191810565 +2016-05,Trendline,0.19179928 +2016-06,Trendline,0.191787994 +2016-07,Trendline,0.191776708 +2016-08,Trendline,0.191765422 +2016-09,Trendline,0.191754137 +2016-10,Trendline,0.191742851 +2016-11,Trendline,0.191731565 +2016-12,Trendline,0.191720279 +2017-01,Trendline,0.191708994 +2017-02,Trendline,0.191697708 +2017-03,Trendline,0.191686422 +2017-04,Trendline,0.191675136 +2017-05,Trendline,0.191663851 +2017-06,Trendline,0.191652565 +2017-07,Trendline,0.191641279 +2017-08,Trendline,0.191629993 +2017-09,Trendline,0.191618708 +2017-10,Trendline,0.191607422 +2017-11,Trendline,0.191596136 +2017-12,Trendline,0.19158485 +2018-01,Trendline,0.191573565 +2018-02,Trendline,0.191562279 +2018-03,Trendline,0.191550993 +2018-04,Trendline,0.191539707 +2018-05,Trendline,0.191528422 +2018-06,Trendline,0.191517136 +2018-07,Trendline,0.19150585 +2018-08,Trendline,0.191494564 +2018-09,Trendline,0.191483279 +2018-10,Trendline,0.191471993 +2018-11,Trendline,0.191460707 +2018-12,Trendline,0.191449421 +2019-01,Trendline,0.191438136 +2019-02,Trendline,0.19142685 +2019-03,Trendline,0.191415564 +2019-04,Trendline,0.191404279 +2019-05,Trendline,0.191392993 +2019-06,Trendline,0.191381707 +2019-07,Trendline,0.191370421 +2019-08,Trendline,0.191359136 +2019-09,Trendline,0.19134785 +2019-10,Trendline,0.191336564 +2019-11,Trendline,0.191325278 +2019-12,Trendline,0.191313993