Review on the Proceedings of Spatial Data Mining Research PEI Tao, ZHOU Cheng-hu, LUO Jian-cheng, HAN Zhi-jun
空间数据知识发现研究进展评述

In this paper, the authors analyze the increasing trend of spatial data and propose that the large data sets, nonlinear relationship among attributes, scaling characters of spatial data, fuzzy character of spatial information, multidimensional attributes and missing data problems are major characters of the complexity characters of spatial data. The proceedings of spatial data mining researches are systematically summarized in the clue of the complexity characters which mentioned above. In conclusion, the relationship between spatial data mining and GIS is expatiated, and the future of the relative research areas are prospected.