Application of Spatial Effect and Regression Model on Forestry Research

In this paper, we had introduced briefly spatial auto correlation and heterogeneity, reviewed the application of spatial lagmodel (SLM), spatialerror model (SEM), mixedeffectsmodel (MEM), geographically weighted regression model (GWR) on forestry research, analyzed the application of the spatial regression models on forestry at the different scales. Finally, the further research prospect would be given based on the problems about application of spatial regression models on forestry research.