Driving Forces Analysis of Landscape Pattern Changes Based on Logistic Regression Model in Wetland of Liaohe

作者：Zhou Kai · 发表于：Environmental Science & Technology · 年份：2012 · 被引用次数：3 · 研究领域：Environmental Changes in China、Remote Sensing and Land Use、Environmental Quality and Pollution

Taking the case study of wetland of Liaohe,the paper analyzed and simulated the data using ARCGIS and Logistic regression model with the data of landscape map,DEM,population and GDP.Taking into account the spatial variability of the landscape changes process,the descriptive spatial models developed suggested some important driving factors in the landscape changes.Results showed that the binary logistic regression model of landscape patterns has better goodness-of-fit.The most important explanatory variable of the spatial model of building land suggested a model,where conversion to building land was controlled by the urban population rate,while reed conversion was controlled by rural population rate and the rate of change of cross-border water resource.Rice land was controlled by the first value rate,while expansion of pond was controlled by urban population rate and the first value rate.The spatial models can identify main driving forces of different forces of different landscape changes through validation of logistic regression model of wetland of Liaohe.