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Comparison of interpolation methods for mapping climatic and bioclimatic variables at regional scale.

Authors :
Attorre, Fabio
Alfo, Marco
De Sanctis, Michele
Francesconi, Fabio
Bruno, Franco
Source :
International Journal of Climatology; Nov2007, Vol. 27 Issue 13, p1825-1843, 19p, 3 Charts, 2 Graphs
Publication Year :
2007

Abstract

The article presents a study which compares three methods of interpolation in a case of a complex geomorphologic territory. These methods include a local interpolation method, universal kriging, and multilayer neural networks trained with backpropagation. The study also identifies 12 climatic variables and nine bioclimatic indexes. It is determined the Great Britain with external drift to be the optimal method, which leads to a plausible distribution of climatic variables, specifically temperature and precipitation as well as most of the analyzed bioclimatic indexes. The researchers reveal that the study of interpolation methods will be useful for concerns on ecological monitoring and environmental assessment of the territory.

Details

Language :
English
ISSN :
08998418
Volume :
27
Issue :
13
Database :
Complementary Index
Journal :
International Journal of Climatology
Publication Type :
Academic Journal
Accession number :
27643725
Full Text :
https://doi.org/10.1002/joc.1495