基于信息熵的面状要素在地图综合中的量测方法分析

目前,信息熵理论被广泛用于地图信息含量的量测,但对于地图综合的信息量分析评价的研究还不多。介绍信息熵理论及地图综合中的几何信息熵概念,并将其运用到面状要素的地图综合信息量量测中。在实例分析中,通过将不同地类分类,较好地反映了不同地类在地图综合中信息量的变化,说明用几何信息熵表征面状要素在地图综合中的信息量是可行的。并在之后进一步提出几何信息熵的加权理论,为进一步研究提供方向。

The analysis on measuring the amount of information of area features in map generalization based on information entropy

Currently,the information entropy theory is widely used in measuring the content of map information,but there are not so many analyses and evaluations about the amount of information of map generalization research.The paper introduces the information entropy theory and the concept of geometric information entropy in the map generalization,and applies them to measuring the amount of information of area features in map generalization.It can show in an example that the change of the amount of information of different land types in map generalization by classifying different land types.It tells us that taking geometric information entropy as the amount of information of area features in map generalization is feasible.And further it raises the weighted theory about geometric information entropy,which provides a direction for the further research.