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Merge pull request #298 from bcgov/devl
Release 0.1.1
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pull_request: | ||
branches: | ||
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Package: climr | ||
Title: Downscaling climate data in R | ||
Version: 0.1.0.9000 | ||
Date: 23-05-2024 | ||
Version: 0.1.1 | ||
Date: 19-08-2024 | ||
Authors@R: c( | ||
person("Kiri","Daust", email = "[email protected]", role = c("aut", "cre")), | ||
person("Colin", "Mahony", email = "[email protected]", role = c("aut"), | ||
person("Kiri", "Daust", , "[email protected]", role = c("aut", "cre")), | ||
person("Colin", "Mahony", , "[email protected]", role = "aut", | ||
comment = c(ORCID = "0000-0002-6111-5675")), | ||
person("Bruno", "Tremblay", email = "[email protected]", role = c("aut"), | ||
person("Bruno", "Tremblay", , "[email protected]", role = "aut", | ||
comment = c(ORCID = "0000-0002-2945-356X")), | ||
person("Ceres", "Barros", email = "[email protected]", role = c("aut"), | ||
comment = c(ORCID = "0000-0003-4036-977X")), | ||
person("Francois", "Bornais", email = "[email protected]", role = c("ctb")), | ||
person(family = "Province of British Columbia", role = c("cph", "fnd"))) | ||
Description: `climr` is an R package that builds on the downscaling concepts | ||
operationalized in the ClimateNA tool (climatena.ca) (Wang et al. 2016). | ||
It provides downscaling of observational and simulated climate data using change-factor | ||
downscaling, a simple method that adds low-spatial-resolution | ||
climate anomalies to a high-spatial-resolution reference climatological map, with additional | ||
elevation adjustment for temperature. Elevation-adjusted monthly values of basic climate | ||
elements (temperature and precipitation) are then used to estimate derived variables | ||
(e.g., degree-days) based on published equations and parameters from Wang et al. 2016. | ||
`climr` is designed to be fast and to minimize local data storage requirements. To do so, | ||
it uses a remote PostGIS database, and optionally caches data locally. | ||
person("Ceres", "Barros", , "[email protected]", role = "aut", | ||
comment = c(ORCID = "0000-0003-4036-977X")), | ||
person("Francois", "Bornais", , "[email protected]", role = "ctb"), | ||
person(, "Province of British Columbia", role = c("cph", "fnd")) | ||
) | ||
Description: Builds on the downscaling concepts operationalized in the | ||
'ClimateNA' tool (<https://climatena.ca>) (Wang et al. 2016 | ||
<doi:10.1371/journal.pone.0156720>). It provides downscaling of | ||
observational and simulated climate data using change-factor | ||
downscaling, a simple method that adds low-spatial-resolution climate | ||
anomalies to a high-spatial-resolution reference climatological map, | ||
with additional elevation adjustment for temperature. | ||
Elevation-adjusted monthly values of basic climate elements | ||
(temperature and precipitation) are then used to estimate derived | ||
variables (e.g., degree-days) based on published equations and | ||
parameters from Wang et al. 2016. This package is designed to be fast | ||
and to minimize local data storage requirements. To do so, it uses a | ||
remote 'PostGIS' database, and optionally caches data locally. | ||
License: Apache License (== 2) | ||
Encoding: UTF-8 | ||
Roxygen: list(markdown = TRUE) | ||
RoxygenNote: 7.3.1 | ||
Depends: | ||
R (>= 4.0) | ||
Imports: | ||
data.table, | ||
DBI, | ||
magrittr, | ||
methods, | ||
pool, | ||
RPostgres, | ||
terra, | ||
scales, | ||
sf, | ||
stinepack, | ||
terra, | ||
uuid, | ||
scales, | ||
magrittr | ||
dplyr, | ||
abind, | ||
dbplyr | ||
Suggests: | ||
ggplot2, | ||
knitr, | ||
parallel, | ||
plotly, | ||
rmarkdown, | ||
remotes, | ||
rmarkdown, | ||
testthat (>= 3.0.0), | ||
utils, | ||
withr | ||
Depends: | ||
R (>= 4.0) | ||
VignetteBuilder: | ||
knitr | ||
Config/testthat/edition: 3 | ||
Encoding: UTF-8 | ||
LazyData: true | ||
VignetteBuilder: knitr | ||
Roxygen: list(markdown = TRUE) | ||
RoxygenNote: 7.3.1 |
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