Interpolation by Local Regressions Applied to Precipitation in France
Type de matériel :
TexteLangue : français Détails de publication : 2009.
Sujet(s) : Ressources en ligne : Abrégé : Two interpolation methods are presented. The global one operates by means of a regression processing applied on the complete data set and the local one consists in a regression processing applied individually to many local sets made of recording stations each. The procedure is applied to the amount of precipitation in France. The local interpolation provides better results than the global one. The contradictory effects between crest lines and plains close below which are drier are well shown by the local model. This one allows other indicators from the regressions which interpretation provides keys for understanding how the climate distribution is differentiated by environmental factors.
Nous n'avons pas d'exemplaire de ce document
57
Two interpolation methods are presented. The global one operates by means of a regression processing applied on the complete data set and the local one consists in a regression processing applied individually to many local sets made of recording stations each. The procedure is applied to the amount of precipitation in France. The local interpolation provides better results than the global one. The contradictory effects between crest lines and plains close below which are drier are well shown by the local model. This one allows other indicators from the regressions which interpretation provides keys for understanding how the climate distribution is differentiated by environmental factors.
Réseaux sociaux