基于信息熵的离散空间场相关指数计算方法

The Computation of Correlative Index between Discrete Spatial Fields Based on Entropy

为了定量测算面状分布的地理要素之间的相关性,基于信息熵理论和性质,给出了一个离散空间场相关指 数,并论述了该指数的计算方法和特点。以MapInfo为平台,采用MapBasic编程,对一组分类图层之间的相关指数 进行了计算。结果表明,该方法理论上严密,实用价值较大。

In order to compute quantitatively the correlativity of geographical elements distributed in region, a correlative index between discrete spatial fields is put forward based on the theory and properties of entropy. The computation method and characteristics of the index are discussed. Making MapInfo as the platform and using MapBasic programming, the correlative indexes of a group of theme layers are computed out. It is shown that the method put in this paper is of great applied value.