0000000000374036

AUTHOR

T. Brossard

showing 4 related works from this author

Contribution of environmental factors to temperature distribution at different resolution levels on the forefield of the Loven Glaciers (Svalbard)

2007

ABSTRACTThe climate and its components (temperature and precipitation) are organised according to different spatial scales that are structured hierarchically. The aim of this paper is to explore the dependence between temperature and deterministic factors at different scales on a 10 km2 study area on the northwestern coast of Svalbard. A GIS was developed which contained three sources of information: temperature, remotely sensed imagery and digital elevation models (DEM), and derived raster data layers. The first layer, temperatures, was acquired at regularly observed temporal intervals from 53 stations. The second layer comprised remotely sensed images (aerial photography and SPOT imagery)…

010504 meteorology & atmospheric sciencesEcology[SHS.GEO] Humanities and Social Sciences/GeographyGeography Planning and Development0207 environmental engineeringElevation02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography15. Life on land01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/GeographyRaster dataAerial photography13. Climate actionLinear regressionSpatial ecologyGeneral Earth and Planetary Sciences020701 environmental engineeringDigital elevation modelScale (map)Image resolutionGeology0105 earth and related environmental sciencesRemote sensing
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Temperature interpolation by local information ; the example of France

2010

International audience; Methods of interpolation, whether based on regressions or on kriging, are global methods in which all the available data for a given study area are used. But the quality of results is affected when the study area is spatially very heterogeneous. To overcome this difficulty, a method of local interpolation is proposed and tested here with temperature in France. Starting from a set of weather stations spread across the country and digitized as 250 m-sided cells, the method consists in modelling local spatial variations in temperature by considering each point of the grid and the n weather stations that are its nearest neighbours. The procedure entails a series of steps…

Atmospheric Science010504 meteorology & atmospheric sciencesbusiness.industrytemperature[SHS.GEO]Humanities and Social Sciences/Geography010501 environmental sciences01 natural sciencesinterpolationMultivariate interpolation[ SHS.GEO ] Humanities and Social Sciences/GeographyNearest-neighbor interpolation13. Climate actionKrigingPolygonStatisticsLinear regressionSpatial variabilityFrancebusiness0105 earth and related environmental sciencesSubdivisionMathematicsInterpolation
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Le prix des paysages périurbains

2007

L'évaluation économique du prix des paysages périurbains utilise des analyses géographiques (occupation des sols, composition paysagère, distance à des biens paysagers, paysages vus : champ de vision, objets, formes). L'article fait le point sur la littérature en matière de méthode et de résultats et présente l'estimation du prix d'attributs paysagers dans la ceinture périurbaine de Dijon.

AMENITEamenityhedonic price[SHS.GEO] Humanities and Social Sciences/Geographymodèle[ SHS.GEO ] Humanities and Social Sciences/GeographypériurbainEconomies et financesaménité0502 economics and businesszone périurbainePRIX HEDONISTE050207 economicspaysageprix hédonisteliving environmentestimation05 social sciencesattribut paysagerperiurban[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landPRIX HEDONISTE;CADRE DE VIE;AMENITE;LANDSCAPE;PERIURBAN;HEDONIC PRICE;LIVING ENVIRONMENT;AMENITYlandscape[SHS.ECO]Humanities and Social Sciences/Economics and FinanceEconomies and financesméthode050202 agricultural economics & policycadre de viePRIX HEDONISTE CADRE DE VIE AMENITE LANDSCAPE PERIURBAN HEDONIC PRICE LIVING ENVIRONMENT AMENITY paysage zone périurbaineattribut paysagerestimation modèleméthode
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Interpolation par recherche d’information locale

2008

Les méthodes d’interpolation, qu’elles procèdent de régressions ou de krigeage, sont globales, en ce sens qu’elles utilisent l’ensemble des données disponibles sur un territoire donné. Or, quand l’hétérogénéité spatiale de celui-ci est forte, la qualité des résultats s’en ressent. Pour dépasser cette difficulté, une méthode d’interpolation locale est proposée et appliquée, à titre de test, aux températures du territoire français. Partant d’un jeu de stations de mesures réparties sur cet espace digitalisé à 250 m, la méthode consiste à modéliser les variations spatiales locales de la température en considérant chaque point de la grille et lesnstations voisines les plus proches qui l’entouren…

General MedicineClimatologie
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