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bibfile.bib
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% This file was created with Citavi 5.2.0.8
@article{krige1951statistical,
title={A statistical approach to some basic mine valuation problems on the Witwatersrand},
author={Krige, Daniel G},
journal={Journal of the Southern African Institute of Mining and Metallurgy},
volume={52},
number={6},
pages={119--139},
year={1951},
publisher={Southern African Institute of Mining and Metallurgy}
}
@article {GEAN:GEAN708,
author = {Li, Hongfei and Calder, Catherine A. and Cressie, Noel},
title = {Beyond Moran's I: Testing for Spatial Dependence Based on the Spatial Autoregressive Model},
journal = {Geographical Analysis},
volume = {39},
number = {4},
publisher = {Blackwell Publishing Inc},
issn = {1538-4632},
url = {http://dx.doi.org/10.1111/j.1538-4632.2007.00708.x},
doi = {10.1111/j.1538-4632.2007.00708.x},
pages = {357--375},
year = {2007},
}
@article{moranI,
title={Notes on continuous stochastic phenomena},
author={Moran, Patrick AP},
journal={Biometrika},
volume={37},
number={1/2},
pages={17--23},
year={1950},
publisher={JSTOR}
}
@article{.,
title = {50YearsDataScience}
}
@INPROCEEDINGS{CompactnessDataClustering,
author={Y. Song},
booktitle={2010 IEEE International Conference on Information Reuse Integration},
title={Class compactness for data clustering},
year={2010},
pages={86-91},
keywords={pattern clustering;class compactness;data clustering;inter-subset distances;intra-subset distances;isolated cluster;monotonic sequences;Algorithm design and analysis;Clustering algorithms;Joining processes;Kernel;Partitioning algorithms;Pediatrics;Shape;class compactness;hierarchical clustering;icluster;monotonic sequence},
doi={10.1109/IRI.2010.5558958},
month={Aug},}
@INPROCEEDINGS{Ester96adensity-based,
author = {Martin Ester and Hans-Peter Kriegel and Jörg Sander and Xiaowei Xu},
title = {A density-based algorithm for discovering clusters in large spatial databases with noise},
booktitle = {},
year = {1996},
pages = {226--231},
publisher = {AAAI Press}
}
@article{shekhar2011identifying,
title={Identifying patterns in spatial information: A survey of methods},
author={Shekhar, Shashi and Evans, Michael R and Kang, James M and Mohan, Pradeep},
journal={Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume={1},
number={3},
pages={193--214},
year={2011},
publisher={Wiley Online Library}
}
@article{SoH-GI-Forum,
title={Stable Hot Spot Analysis for Intra Urban Heat
Islands, Forthcoming},
author={Bruns, Julian and Simko, Viliam},
journal={Journal GI\_Forum 2017 },
number={1},
year={2017},
publisher={Verlag der Österreichischen Akademie der Wissenschaften}
}
@article{Ankerst:1999:OOP:304181.304187,
author = {Ankerst, Mihael and Breunig, Markus M. and Kriegel, Hans-Peter and Sander, J\"{o}rg},
title = {OPTICS: Ordering Points to Identify the Clustering Structure},
journal = {SIGMOD Rec.},
issue_date = {June 1999},
volume = {28},
number = {2},
month = jun,
year = {1999},
issn = {0163-5808},
pages = {49--60},
numpages = {12},
url = {http://doi.acm.org/10.1145/304181.304187},
doi = {10.1145/304181.304187},
acmid = {304187},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {cluster analysis, database mining, visualization},
}
@article{Pouliou.2009,
title = "An exploratory spatial analysis of overweight and obesity in Canada ",
journal = "Preventive Medicine ",
volume = "48",
number = "4",
pages = "362 - 367",
year = "2009",
note = "",
issn = "0091-7435",
doi = "http://dx.doi.org/10.1016/j.ypmed.2009.01.017",
url = "http://www.sciencedirect.com/science/article/pii/S0091743509000632",
author = "Theodora Pouliou and Susan J. Elliott",
keywords = "Overweight",
keywords = "Obesity",
keywords = "Spatial clustering",
keywords = "GIS",
keywords = "Canada "
}
@article{Araujo.2015,
title = "São Paulo urban heat islands have a higher incidence of dengue than other urban areas ",
journal = "The Brazilian Journal of Infectious Diseases ",
volume = "19",
number = "2",
pages = "146 - 155",
year = "2015",
note = "",
issn = "1413-8670",
doi = "http://dx.doi.org/10.1016/j.bjid.2014.10.004",
url = "http://www.sciencedirect.com/science/article/pii/S1413867014002074",
author = "Ricardo Vieira Araujo and Marcos Roberto Albertini and André Luis Costa-da-Silva and Lincoln Suesdek and Nathália Cristina Soares Franceschi and Nancy Marçal Bastos and Gizelda Katz and Vivian Ailt Cardoso and Bronislawa Ciotek Castro and Margareth Lara Capurro and Vera Lúcia Anacleto Cardoso Allegro",
keywords = "Urban heat islands",
keywords = "Land surface temperature",
keywords = "Vegetation cover",
keywords = "Dengue",
keywords = "Aedes aegypti "
}
@article{Wolf.2013,
title = "The development of a heat wave vulnerability index for London, United Kingdom ",
journal = "Weather and Climate Extremes ",
volume = "1",
number = "",
pages = "59 - 68",
year = "2013",
note = "",
issn = "2212-0947",
doi = "http://dx.doi.org/10.1016/j.wace.2013.07.004",
url = "http://www.sciencedirect.com/science/article/pii/S2212094713000054",
author = "Tanja Wolf and Glenn McGregor",
keywords = "Heat waves",
keywords = "Heat vulnerability index",
keywords = "Heat risk mapping",
keywords = "Climate and health",
keywords = "Climate risk management ",
abstract = "Abstract The health impacts of heat waves are an emerging environmental health concern. This is especially so for large cities where there is a concentration of people and because of the urban heat island effect. Temperatures within cities can reach stressful levels during extreme temperature events. To better manage heat related health risks, information is required on the intra-urban variability of vulnerability to heat wave events. Accordingly a heat vulnerability index (HVI) is developed and presented for Greater London in the United Kingdom. The approach to \{HVI\} development adopted is an inductive one whereby nine proxy measures of heat risk are extracted from the 2001 London census for 4765 census districts and subject to principal components analysis. Scores for the emergent principal components are weighted according to the variance they explain and summed to form the HVI. Although mapping of the \{HVI\} shows what appears to be a heterogeneous heat “risk-scape” statistical testing reveals significant spatial clustering of areas of high heat vulnerability in central and east London which also co-occur with areas of potentially high heat exposure. Drivers of the spatial pattern of heat vulnerability are discussed as are the implications of study results for heat risk management in large cities. "
}
@article {GRL:GRL22143,
author = {Chase, Thomas N. and Wolter, Klaus and Pielke, Roger A. and Rasool, Ichtiaque},
title = {Was the 2003 European summer heat wave unusual in a global context?},
journal = {Geophysical Research Letters},
volume = {33},
number = {23},
issn = {1944-8007},
url = {http://dx.doi.org/10.1029/2006GL027470},
doi = {10.1029/2006GL027470},
pages = {n/a--n/a},
keywords = {Climate variability, Impacts of global change, Regional climate change, heat wave},
year = {2006},
note = {L23709},
}
@article{KDE_Hotspot,
title={New methods to identify and rank high pedestrian crash zones: An illustration},
author={Pulugurtha, Srinivas S and Krishnakumar, Vanjeeswaran K and Nambisan, Shashi S},
journal={Accident Analysis \& Prevention},
volume={39},
number={4},
pages={800--811},
year={2007},
publisher={Elsevier}
}
@article{Kriging_Hotspot,
author = {Oliver, M. A. and Webster, R.},
title = {Kriging: a method of interpolation for geographical information systems},
journal = {International Journal of Geographical Information Systems},
volume = {4},
number = {3},
pages = {313-332},
year = {1990},
doi = {10.1080/02693799008941549},
}
@article{Thakali2015,
author = {Thakali, Lalita and Kwon, Tae J. and Fu, Liping}, doi = {10.1007/s40534-015-0068-0}, file = {:home/vlx/Documents/MendeleyBibliography/2015/2015 - Thakali, Kwon, Fu - Identification of crash hotspots using kernel density estimation and kriging methods a comparison.pdf:pdf}, issn = {2095-087X}, journal = {Journal of Modern Transportation}, keywords = {1007,106,2,2015,23,93,Crash hotspots,Kernel density,Kriging,Performance measures,a comparison,and kriging methods,doi 10,identification of crash hotspots,mod,s40534-015-0068-0,transport,using kernel density estimation}, mendeley-groups = {RROAD}, month = {jun}, number = {2}, pages = {93--106}, publisher = {Springer Berlin Heidelberg}, title = {{Identification of crash hotspots using kernel density estimation and kriging methods: a comparison}}, url = {http://link.springer.com/10.1007/s40534-015-0068-0},
volume = {23},
year = {2015}
}
@article{Hassid.2001.Electricity_UHI,
title = "The effect of the Athens heat island on air conditioning load ",
journal = "Energy and Buildings ",
volume = "32",
number = "2",
pages = "131 - 141",
year = "2000",
note = "",
issn = "0378-7788",
doi = "http://dx.doi.org/10.1016/S0378-7788(99)00045-6",
url = "http://www.sciencedirect.com/science/article/pii/S0378778899000456",
author = "S. Hassid and M. Santamouris and N. Papanikolaou and A. Linardi and N. Klitsikas and C. Georgakis and D.N. Assimakopoulos",
keywords = "Heat island phenomenon",
keywords = "Air conditioning load",
keywords = "DOE2.1.E",
keywords = "Energy simulation software "
}
@article{Lowry.1977,
author = {Lowry, William P.},
year = {1977},
title = {Empricial Estimation of Urban Effects on Climate: A Problem Analysis},
pages = {129--135},
number = {16.2},
journal = {Journal of Applied Meteorology}
}
@article{Lu.2015,
author = {Lu, Binbin and Harris, Paul and Charlton, Martin and Brunsdon, Chris},
year = {2015},
title = {Calibrating a Geographically Weighted Regression Model with Parameter-specific Distance Metrics},
keywords = {GWR;Non-stationarity;Parameter-Specific Distance Metrics;Simulation Experiment,},
pages = {109--114},
volume = {26},
issn = {18780296},
journal = {Procedia Environmental Sciences},
doi = {10.1016/j.proenv.2015.05.011}
}
@article{Maatouk.2015,
author = {Maatouk, Hassan and Roustant, Olivier and Richet, Yann},
year = {2015},
title = {Cross-Validation Estimations of Hyper-Parameters of Gaussian Processes with Inequality Constraints},
keywords = {cross validation;Gaussian process emulator;inequality constraints},
pages = {38--44},
volume = {27},
issn = {18780296},
journal = {Procedia Environmental Sciences},
doi = {10.1016/j.proenv.2015.07.105}
}
@article{Maldonado.2015,
author = {Maldonado, A. D. and Ropero, R. F. and Aguilera, P. A. and Fern{\'a}ndez, A. and Rum{\'i}, R. and Salmer{\'o}n, A.},
year = {2015},
title = {Continuous Bayesian Networks vs. Other Methods for Regression in Environmental Modelling},
keywords = {Bayesina networks;error map;Linear regression;model Tree;Multilayer perceptron;surface waters},
pages = {70--73},
volume = {26},
issn = {18780296},
journal = {Procedia Environmental Sciences},
doi = {10.1016/j.proenv.2015.05.027}
}
@article{Manley.1958,
author = {Manley, Gordon},
year = {1958},
title = {On the frequency of snowfall in metropolitan England},
pages = {70--72},
volume = {84},
number = {359},
issn = {00359009},
journal = {Quarterly Journal of the Royal Meteorological Society},
doi = {10.1002/qj.49708435910}
}
@article{Manley.1958b,
author = {Manley, Gordon},
year = {1958},
title = {On the frequency of snowfall in metropolitan England},
pages = {70--72},
volume = {84},
number = {359},
issn = {1477-870X},
journal = {Quarterly Journal of the Royal Meteorological Society},
doi = {10.1002/qj.49708435910}
}
@article{Martin.2015,
abstract = {*~Definition Intra Urban Heat Islands
*~Definition UHI~idealerweise lokal neu definieren bzw relativ zu sehen
*~Beschreibung Berechnung LST aus LANDSAT
*~5 Step SIHUI~Berechnung
*Korrelation zwischen GSR 2 Tage vorher ist guter predictor f{\"u}r SIUHI
*~Relevante /~Konkurrierendes Konzept},
author = {Martin, Philippe and Baudouin, Yves and Gachon, Philippe},
year = {2015},
title = {An alternative method to characterize the surface urban heat island},
url = {http://link.springer.com/article/10.1007/s00484-014-0902-9/fulltext.html},
keywords = {Intra Urban Heat Island;Land surface temperature;Landsat;Urban heat island;Urban microclimate},
pages = {849--861},
volume = {59},
number = {7},
issn = {1432-1254},
journal = {International Journal of Biometeorology},
doi = {10.1007/s00484-014-0902-9}
}
@article{Meier.,
author = {Meier},
title = {meier{\_}fred}
}
@book{Meier.2011,
author = {Meier, Fred},
year = {2011},
title = {Thermal remote sensing of urban microclimates by means of time-sequential thermography}
}
@article{MelissaHart.,
author = {{Melissa Hart} and {Richard DeDear} and {Robert Hyde}},
title = {A technique for forecasting enhanced ozone days in a complex sub-tropical coastal urban environment},
keywords = {1.6}
}
@article{Memon.2011,
author = {Memon, Rizwan Ahmed and Leung, Dennis Y. C. and Liu, Chun-Ho and Leung, Michael K. H.},
year = {2011},
title = {Urban heat island and its effect on the cooling and heating demands in urban and suburban areas of Hong Kong},
pages = {441--450},
volume = {103},
number = {3-4},
issn = {0177-798X},
journal = {Theoretical and Applied Climatology},
doi = {10.1007/s00704-010-0310-y}
}
@article{Menberg.2013,
abstract = {Little is known about the intensity and extension of subsurface urban heat islands (UHI), and the individual role of the driving factors has not been revealed either. In this study, we compare groundwater temperatures in shallow aquifers beneath six German cities of different size (Berlin, Munich, Cologne, Frankfurt, Karlsruhe and Darmstadt). It is revealed that hotspots of up to +20K often exist, which stem from very local heat sources, such as insufficiently insulated power plants, landfills or open geothermal systems. When visualizing the regional conditions in isotherm maps, mostly a concentric picture is found with the highest temperatures in the city centers. This reflects the long-term accumulation of thermal energy over several centuries and the interplay of various factors, particularly in heat loss from basements, elevated ground surface temperatures (GST) and subsurface infrastructure. As a primary indicator to quantify and compare large-scale UHI intensity the 10-90{\%}-quantile range UHII(10-90) of the temperature distribution is introduced. The latter reveals, in comparison to annual atmospheric UHI intensities, an even more pronounced heating of the shallow subsurface.},
author = {Menberg, Kathrin and Bayer, Peter and Zosseder, Kai and Rumohr, Sven and Blum, Philipp},
year = {2013},
title = {Subsurface urban heat islands in German cities},
keywords = {Cities;City Planning;Environmental Monitoring/methods;Geological Processes;Germany;Hot Temperature;Urbanization/trends},
pages = {123--133},
volume = {442},
issn = {1879-1026},
journal = {The Science of the total environment},
doi = {10.1016/j.scitotenv.2012.10.043}
}
@book{Lovric.2011,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@article{Menberg.2013b,
abstract = {Anthropogenic alterations in urban areas influence the thermal environment causing elevated atmospheric and subsurface temperatures. The subsurface urban heat island effect is observed in several cities. Often shallow urban aquifers exist with thermal anomalies that spread laterally and vertically, resulting in the long-term accumulation of heat. In this study, we develop an analytical heat flux model to investigate possible drivers such as increased ground surface temperatures (GSTs) at artificial surfaces and heat losses from basements of buildings, sewage systems, subsurface district heating networks, and reinjection of thermal wastewater. By modeling the anthropogenic heat flux into the subsurface of the city of Karlsruhe, Germany, in 1977 and 2011, we evaluate long-term trends in the heat flux processes. It revealed that elevated GST and heat loss from basements are dominant factors in the heat anomalies. The average total urban heat flux into the shallow aquifer in Karlsruhe was found to be $\sim$759 $\pm$ 89 mW/m(2) in 1977 and 828 $\pm$ 143 mW/m(2) in 2011, which represents an annual energy gain of around 1.0 $\times$ 10(15) J. However, the amount of thermal energy originating from the individual heat flux processes has changed significantly over the past three decades.},
author = {Menberg, Kathrin and Blum, Philipp and Schaffitel, Axel and Bayer, Peter},
year = {2013},
title = {Long-term evolution of anthropogenic heat fluxes into a subsurface urban heat island},
keywords = {Cities;Environmental Monitoring/methods;Germany;Global Warming;Groundwater/chemistry;Hot Temperature;Models, Theoretical;Monte Carlo Method;Seasons;Sensitivity and Specificity;Temperature},
pages = {9747--9755},
volume = {47},
number = {17},
issn = {1520-5851},
journal = {Environmental science {\&} technology},
doi = {10.1021/es401546u}
}
@article{Mills.2008,
author = {Mills, Gerald},
year = {2008},
title = {Luke Howard and The Climate of London}
}
@book{howard1818climate,
title={The climate of London},
author={Howard, Luke},
volume={1},
year={1818},
publisher={W. Phillips, sold also by J. and A. Arch}
}
@article{schmidt1927verteilung,
title={{Die Verteilung der Minimumtemperaturen in der Frostnacht des 12.5. 1927 im Gemeindegebiet von Wien}},
author={Schmidt, Wilhelm},
journal={Fortschritte der Landwirtschaft},
volume={2},
pages={21},
year={1927}
}
@article{peppler1929auto,
title={{Das Auto als Hilfsmittel der meteorologischen Forschung}},
author={Peppler, A},
journal={Das Wetter},
volume={46},
pages={305--308},
year={1929}
}
@misc{department2014world,
title={World Urbanization Prospects: The 2014 Revision, Highlights (ST/ESA/SER. A/352)},
author={Department of Economic and Social Affairs, Population Division, United Nations},
year={2014},
publisher={United Nations New York, NY, USA}
}
% This file was created with Citavi 5.2.0.8
@article{Hansen.2010,
author = {Hansen, J. and Ruedy, R. and Sato, M. and Lo, K.},
year = {2010},
title = {GLOBAL SURFACE TEMPERATURE CHANGE},
volume = {48},
number = {4},
issn = {8755-1209},
journal = {Reviews of Geophysics},
doi = {10.1029/2010RG000345}
}
@article{Trobine2008death,
title={Death toll exceeded 70,000 in Europe during the summer of 2003},
author={Robine, Jean-Marie and Cheung, Siu Lan K and Le Roy, Sophie and Van Oyen, Herman and Griffiths, Clare and Michel, Jean-Pierre and Herrmann, Fran{\c{c}}ois Richard},
journal={Comptes rendus biologies},
volume={331},
number={2},
pages={171--178},
year={2008},
publisher={Elsevier}
}
@article{Mills.2014,
author = {Mills, Gerald},
year = {2014},
title = {Urban climatology: History, status and prospects},
keywords = {Descriptive climatology;Physical climatology},
pages = {479--489},
volume = {10},
issn = {22120955},
journal = {Urban Climate},
doi = {10.1016/j.uclim.2014.06.004}
}
@article{Mirzaei.2010,
author = {Mirzaei, Parham A. and Haghighat, Fariborz},
year = {2010},
title = {Approaches to study Urban Heat Island -- Abilities and limitations},
keywords = {Countermeasure;Observation;Outdoor air quality;Simulation;Urban heat island},
pages = {2192--2201},
volume = {45},
number = {10},
issn = {03601323},
journal = {Building and Environment},
doi = {10.1016/j.buildenv.2010.04.001}
}
@article{Sundborg.1950,
author = {Sundborg, A.},
year = {1950},
title = {Local Climatological Studies of the Temperature Conditions in an Urban Area},
pages = {222--232},
number = {2.3},
journal = {Tellus}
}
@article{Mohsin.2012,
author = {Mohsin, Tanzina and Gough, William A.},
year = {2012},
title = {Characterization and estimation of urban heat island at Toronto: Impact of the choice of rural sites},
pages = {105--117},
volume = {108},
number = {1-2},
issn = {0177-798X},
journal = {Theoretical and Applied Climatology},
doi = {10.1007/s00704-011-0516-7}
}
@incollection{MunierK.andBurgerH..,
author = {{Munier, K. and Burger, H.}},
title = {Analysis of land use data and surface temperatures derived from satellite data for the area of Berlin.},
booktitle = {Remote sensing of urban areas= Fernerkundung in urbanen R{\"a}aumen Regensburg}
}
@article{Myrup.1969,
author = {Myrup, Leonard O.},
year = {1969},
title = {A numerical model of the urban heat island},
volume = {8},
number = {6},
journal = {Journal of Applied Meteorology}
}
@article{Niachou.2008,
author = {Niachou, K. and Livada, I. and Santamouris, M.},
year = {2008},
title = {Experimental study of temperature and airflow distribution inside an urban street canyon during hot summer weather conditions---Part I: Air and surface temperatures},
pages = {1383--1392},
volume = {43},
number = {8},
issn = {03601323},
journal = {Building and Environment},
doi = {10.1016/j.buildenv.2007.01.039}
}
@article{Nicolet.2015,
author = {Nicolet, Gilles and Eckert, Nicolas and Morin, Samuel and Blanchet, Juliette},
year = {2015},
title = {Inferring Spatio-temporal Patterns in Extreme Snowfall in the French Alps Using Max-stable Processes},
keywords = {extremal coefficient;French Alps;max-stable process;snowfall;spatial statistic},
pages = {75--82},
volume = {27},
issn = {18780296},
journal = {Procedia Environmental Sciences},
doi = {10.1016/j.proenv.2015.07.102}
}
@article{Oke1982energetic,
title={The energetic basis of the urban heat island},
author={Oke, Tim R},
journal={Quarterly Journal of the Royal Meteorological Society},
volume={108},
number={455},
pages={1--24},
year={1982},
publisher={Wiley Online Library}
}
@article{Oke.1973,
abstract = {*~One of the original paper},
author = {Oke, T. R.},
year = {1973},
title = {City size and the urban heat island},
keywords = {Urban heat island},
pages = {769--779},
volume = {7},
number = {8},
issn = {13522310},
journal = {Atmospheric Environment},
doi = {10.1016/0004-6981(73)90140-6}
}
@article{Oke.1975,
author = {Oke, T. R. and Maxwell, G. B.},
year = {1975},
title = {Urban heat island dynamics in Montreal and Vancouver},
pages = {191--200},
volume = {9},
number = {2},
issn = {00046981},
journal = {Atmospheric Environment (1967)},
doi = {10.1016/0004-6981(75)90067-0}
}
@article{Mihalakakou.2004,
author = {Mihalakakou, G. and Santamouris, M. and Papanikolaou, N. and Cartalis, C. and Tsangrassoulis, A.},
year = {2004},
title = {Simulation of the Urban Heat Island Phenomenon in Mediterranean Climates},
pages = {429--451},
volume = {161},
number = {2},
issn = {0033-4553},
journal = {Pure and Applied Geophysics},
doi = {10.1007/s00024-003-2447-4}
}
@book{Lovric.2011b,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011c,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011d,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@article{Kulldorff.2001,
author = {Kulldorff, Martin},
year = {2001},
title = {Prospective time periodic geographical disease surveillance using a scan statistic},
pages = {61--72},
volume = {164},
number = {1},
issn = {0964-1998},
journal = {Journal of the Royal Statistical Society: Series A (Statistics in Society)},
doi = {10.1111/1467-985X.00186}
}
@book{Kurland.2013,
author = {Kurland, Oren and Metzler, Donald and Lioma, Christina and Larsen, Birger and Ingwersen, Peter},
year = {2013},
title = {ICTIR 2013: International Conference on the Theory of Information Retrieval : 29 September - 2 October 2013, Copenhagen, Denmark},
keywords = {Database management;Information organization;Information retrieval},
address = {New York},
publisher = {{Association for Computing Machinery}},
series = {ICPS}
}
@article{Lenzi.2015,
author = {Lenzi, A. and Guillot, G. and Pinson, P.},
year = {2015},
title = {A Spatial Model for the Instantaneous Estimation of Wind Power at a Large Number of Unobserved Sites},
keywords = {Bayesian hierarchical models;Integrated Nested Laplace Approximation;Wind power prediction},
pages = {131--134},
volume = {26},
issn = {18780296},
journal = {Procedia Environmental Sciences},
doi = {10.1016/j.proenv.2015.05.017}
}
@article{Leo.2015,
author = {Leo, L. S. and Fernando, H. J. S. and {Di Sabatino}, S.},
year = {2015},
title = {Near-surface flow in complex terrain with coastal and urban influence},
pages = {349--372},
volume = {15},
number = {2},
issn = {1567-7419},
journal = {Environmental Fluid Mechanics},
doi = {10.1007/s10652-013-9327-y}
}
@article{Lin.2009,
abstract = {BACKGROUND
Although the association of high temperatures with mortality is well-documented, the association with morbidity has seldom been examined. We assessed the potential impact of hot weather on hospital admissions due to cardiovascular and respiratory diseases in New York City. We also explored whether the weather-disease relationship varies with socio-demographic variables.
METHOD
We investigated effects of temperature and humidity on health by linking the daily cardiovascular and respiratory hospitalization counts with meteorologic conditions during summer, 1991-2004. We used daily mean temperature, mean apparent temperature, and 3-day moving average of apparent temperature as the exposure indicators. Threshold effects for health risks of meteorologic conditions were assessed by log-linear threshold models, after controlling for ozone, day of week, holidays, and long-term trend. Stratified analyses were used to evaluate temperature-demographic interactions.
RESULTS
For all 3 exposure indicators, each degree C above the threshold of the temperature-health effect curve (29 degrees C-36 degrees C) was associated with a 2.7{\%}-3.1{\%} increase in same-day hospitalizations due to respiratory diseases, and an increase of 1.4{\%}-3.6{\%} in lagged hospitalizations due to cardiovascular diseases. These increases for respiratory admissions were greater for Hispanic persons (6.1{\%}/ degrees C) and the elderly (4.7{\%}/ degrees C). At high temperatures, admission rates increased for chronic airway obstruction, asthma, ischemic heart disease, and cardiac dysrhythmias, but decreased for hypertension and heart failure.
CONCLUSIONS
Extreme high temperature appears to increase hospital admissions for cardiovascular and respiratory disorders in New York City. Elderly and Hispanic residents may be particularly vulnerable to the temperature effects on respiratory illnesses.},
author = {Lin, Shao and Luo, Ming and Walker, Randi J. and Liu, Xiu and Hwang, Syni-An and Chinery, Robert},
year = {2009},
title = {Extreme high temperatures and hospital admissions for respiratory and cardiovascular diseases},
keywords = {Adolescent;Adult;Aged;Cardiovascular Diseases/epidemiology;Child;Child, Preschool;Databases as Topic;Female;Hospitalization/statistics {\&} numerical data;Hot Temperature/adverse effects;Humans;Infant;Infant, Newborn;Male;Middle Aged;New York City/epidemiology;Respiratory Tract Diseases/epidemiology;Social Class;Young Adult},
pages = {738--746},
volume = {20},
number = {5},
issn = {1531-5487},
journal = {Epidemiology (Cambridge, Mass.)},
doi = {10.1097/EDE.0b013e3181ad5522}
}
@article{Linares.2008,
abstract = {BACKGROUND
Heat wave prevention plans are traditionally implemented according to a temperature limit above which mortality begins to rise. Although these prevention plans are obviously designed to avoid deaths, it is also necessary to establish the impact of extreme temperatures on hospital admissions in order to put hospital alert plans into action for dealing with people affected by heat wave victims.
METHODS
We used data on daily emergency admissions between May and September, from 1995 to 2000, in the Hospital General Universitario Gregorio Mara{\~n}{\'o}n in Madrid. The causes for admission were considered as 'organic' (International Classification of Diseases, ICD-9: 1-799), circulatory (ICD-9: 390-459) and respiratory (ICD-9: 460-519). We stratified them according to the following age groups: all ages, from 0 to 10, 18 to 44, 45 to 64, 65 to 74 and above 75 years. The methodology used was Autorregresive Integrated Moving Average (ARIMA) modelling, including variables related to atmospheric pollution, seasonality and trends.
RESULTS
The results show that the temperature above which hospital admissions soar coincides with the temperature limit above which mortality sharply rises, which, in turn, coincides with percentile 95 of the maximum daily temperature series for summer months. The pattern of hospital admissions is completely different from that of mortality. The rise in hospital admissions due to all causes and age groups is clearly smaller than that detected for mortality.
DISCUSSION
These results suggest that people die rapidly from circulatory diseases before they can be admitted to hospital. This datum is vital with regard to implementing prevention plans prior to the arrival of the heat wave, if they are to effectively reduce mortality.},
author = {Linares, C. and D{\'i}az, J.},
year = {2008},
title = {Impact of high temperatures on hospital admissions: comparative analysis with previous studies about mortality (Madrid)},
keywords = {Adolescent;Adult;Age Distribution;Aged;Aged, 80 and over;Air Pollutants/adverse effects;Cardiovascular Diseases/etiology/mortality;Cause of Death;Child;Child, Preschool;Emergency Service, Hospital/statistics {\&} numerical data;Heat Stress Disorders/mortality/prevention {\&} control;Hospitals, Urban/statistics {\&} numerical data;Hot Temperature/adverse effects;Humans;Infant;Infant, Newborn;Middle Aged;Models, Statistical;Ozone/poisoning;Patient Admission/statistics {\&} numerical data;Respiratory Tract Diseases/etiology/mortality;Spain/epidemiology},
pages = {317--322},
volume = {18},
number = {3},
issn = {1464-360X},
journal = {European journal of public health},
doi = {10.1093/eurpub/ckm108}
}
@article{Liu.2011,
author = {Liu, Chun and Shi, Bin and Tang, Chaosheng and Gao, Lei},
year = {2011},
title = {A numerical and field investigation of underground temperatures under Urban Heat Island},
keywords = {Concrete surface;Heat island;Moisture;Numerical simulation;Soil surface;Underground temperature},
pages = {1205--1210},
volume = {46},
number = {5},
issn = {03601323},
journal = {Building and Environment},
doi = {10.1016/j.buildenv.2010.12.015}
}
@article{Louvet.2015,
author = {Louvet, Romain and Aryal, Jagannath and Josselin, Didier and Genre-Grandpierre, Cyrille},
year = {2015},
title = {R as a GIS: Illustrating Scale and Aggregation Problems with Forest Fire Data},
keywords = {forest fire;Modifiable Areal Unit Problem;R},
pages = {66--69},
volume = {27},
issn = {18780296},
journal = {Procedia Environmental Sciences},
doi = {10.1016/j.proenv.2015.07.118}
}
@book{Lovric.2011e,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011f,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011g,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011h,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011i,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011j,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011k,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011l,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011m,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011n,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011o,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011p,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011q,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011r,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011s,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011t,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011u,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011v,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@book{Lovric.2011w,
author = {Lovric, Miodrag},
year = {2011},
title = {International Encyclopedia of Statistical Science},
address = {Berlin, Heidelberg},
publisher = {{Springer Berlin Heidelberg}},
isbn = {978-3-642-04897-5},
doi = {10.1007/978-3-642-04898-2}
}
@article{Oliver.1989,
author = {Oliver, Margaret and Webster, Richard and Gerrard, John},
year = {1989},
title = {Geostatistics in Physical Geography. Part I: Theory},
pages = {259--269},
volume = {14},
issn = {00202754},
journal = {Transactions of the Institute of British Geographers},
doi = {10.2307/622687}