本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish between lower and upper approximation, Rough sets and simple　and from spatial data mining, remote sensing image processing, GIS uncertainty, GIS data analysis, fuzzy geographical objects Modeling and rough sets and other soft computing methods outlined six aspects such as the combination of rough set theory in GIS progress in the application of data processing