Interpolating Socioeconomic Data for the Analysis of Deforestation:A Comparison of Methods

作     者：Michelle Farfán Jean Francois Mas Laura Osorio 

作者机构：Centro de Investigaciones en Geografía AmbientalUniversidad Nacional Autonoma de MexicoMoreliaMexico 

出 版 物：《Journal of Geographic Information System》 (地理信息系统（英文）)

年 卷 期：2012年第4卷第4期

页      面：358-365页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported by the Consejo Nacional de Ciencia y Tecnología(CONACYT)through grants for the Geography and Biological Sciences graduate programs at UNAM and the project PAPIIT IN113511 

主　　题：Interpolation Socioeconomic Variables Deforestation Hierarchical Partition 

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.