文章基本信息

标题：Interpolating Socioeconomic Data for the Analysis of Deforestation: A Comparison of Methods
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作者：Michelle Farfán ; Jean François Mas ; Laura Osorio 等
期刊名称：Journal of Geographic Information System
印刷版ISSN：2151-1950
电子版ISSN：2151-1969
出版年度：2012
卷号：4
期号：4
页码：358-365
DOI：10.4236/jgis.2012.44041
出版社：Scientific Research Publishing
摘要：This study compares local-level socioeconomic variables interpolated with three different methods: 1) Thiessen polygons, 2) Inverse distance weighting, and 3) Areas of influence based on cost of distance. The main objective was to determine the interpolation technique capable of generating the most efficient variable to explain the distribution of deforestation through two statistical approaches: generalized linear models and hierarchical partition. The study was conducted in two regions of western Mexico: Coyuquilla River watershed, and the Sierra de Manantlan Biosphere Reserve (SMBR). For SMBR it was found that the Thiessen polygons and areas of influence were the techniques that interpolated variables with greatest explanatory power for the deforestation process, in Coyuquilla it was inverse distance weighting. These differences are related to the distribution and the spatial correlation of the values of the variables.
关键词：Interpolation; Socioeconomic Variables; Deforestation; Hierarchical Partition