Research On The Integration Of GIS And Spatial Data Mining

Nowadays, Geographic Information System and Data Mining and Knowledge Discovery technology are two bright pearls of information technology .The former emphasizes particularly on the management of information and the latter emphasizes particularly on the processing and analysis of information.There are abundant data and information in the database of Geographic Information System. These data and information include much implicit and valuable knowledge. Presently GIS is limited to the collection, query and statistic of data. It can not discover relations and rules in data while data mining techniques can analyze GIS data at a higher level which can discover the implicit knowledge. Discovering knowledge from spatial database of GIS with data mining techniques, namely spatial data mining, has become an important research aspect in data mining fields.The development of the two techniques makes it possible to mine the knowledge and rules that behind the massive spatial data which is stored in GIS by integrating the two techniques.The main task of spatial data mining is discovering the implicit, unknown information to assist relevant application. At the same time, spatial association rule is one of the most primary knowledge rules in the result of spatial data mining. It emphasizes particularly on confirming the relationship of data in different fields, and finding out the dependence of data in multi-fields.This paper mainly researches on spatial data mining and GIS Integration mode with GIS spatial database through studing knowledge discovery and data mining.In the paper a association knowledge model and a spatial data mining system architecture based on the MapX are presented. Moreover, model data are pretreated and association rules mining algorithm Apriori is implemented. The knowledge rules by data mining reflect a broad application prospects by integrating spatial data mining and GIS. The main thesis is as follows:(1) Through the research of the knowledge discovery and data mining, combined the spatial data mining and GIS spatial database, and built the knowledge discovery model through in-depth analysis of the spatial data mining and GIS spatial database's integration modes.(2) Studying the process of data processing and analysing advanced several spatial data reprocessing methods and spatial association rules mining, analyzed and realized the algorithm of spatial association rules.(3) Presenting a spatial data mining architecture based on GIS module MapX , implementing association rules mining algorithm Apriori and establishing mining algorithm Apriori analysis platfoim.it reflects a broad application prospects by integrating the spatial data mining and GIS .