基于名义尺度栅格数据空间自相关测度初探

空间自相关是地理信息科学目前研究的热点问题,作为空间数据挖掘的一种手段,它着重分析了空间实体的聚集程度,阐释了事物之间普遍联系的准则。值得注意的是,目前空间自相关的研究多以空间实体定量化属性为对象,针对定性表达数据测度的空间自相关研究稍显不足。本文以名义尺度下的栅格数据作为研究对象,通过定义空间自邻接指数提出一种空间自相关测度算法,并将其应用到土地利用数据分析中得到了较好的试验结果。

Preliminary Study on Spatial Autocorrelation Measure Based on Nominal Scale Grid Data

As a hot topic in present GIS research,and as one of the ways of spatial data mining,the spatial autocorrelation focuses on spatial data convergence and shows that everything is related with others.However,the present research of spatial autocorrelation is mainly thought with quantity data,and the research on quality data is not enough.In this paper,the research is based on nominal scale gird data.While defining the spatial auto-relation index and an algorithm for spatial autocorrelation measurement is propsed,and the fair results are obtained in the experiment with the land use data.