摘要
介绍了空间自相关及空间异质性,综述了空间滞后模型(SLM)、空间误差模型(SEM)、混合效应模型(MEM)和地理加权回归模型(GWR)等空间回归模型在林业中的应用,分析了空间回归模型在不同尺度的林业问题中的应用情况,并针对空间回归模型在林业研究中应用所存在的问题进行探讨。
In this paper, we had introduced briefly spatial auto correlation and heterogeneity, reviewed the application of spatial lagmodel (SLM), spatialerror model (SEM), mixed-eff)ctsmodel (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.
出处
《西南林业大学学报(自然科学)》
CAS
北大核心
2016年第3期144-152,共9页
Journal of Southwest Forestry University:Natural Sciences
基金
国家自然科学基金项目(31560209)资助
林业公益性行业科研专项项目(201404309)资助
西南林业大学博士科研启动基金项目(111416)资助
关键词
空间效应
回归模型
林业
尺度
应用
spatial effect, regression models, forestry, scale, application