A Spatial Association Rule Algorithm Based on Concept Tree and its Application in Land Use Analysis

Hong Xu · Huazhong Nongye Daxue xuebao · 2009

Spatial association rule is one of the most fundamental rules in the result of spatial data mining.It emphasizes particularly on confirming the relation of data in different fields.It tries to find out the dependence of data in multi-fields.An important research field of land use analysis is to determine the spatial topology relations in the land use.This paper introduces a research on the algorithms of spatial association rule from the point of GIS based on the application of assistant decision-making in intelligent GIS.An efficient method for mining spatial association rule that uses the relation of spatial concept in the same layer has been tested and practically used in the land use of Longhai,and some very realistic and significant association rules have been determined such as:is_a gardenland∧adjacent_to trafficland→residential,and is_a water∧adjacent_to growland∧intersects trafficland → residential.

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