Integration of gis and data mining technology for land management

Spatial data mining is growing in popularity as a tool to discover implicit information from massive amounts of spatial and temporal data which can help to understand complicated environmental issues. This study explores the applicability of data mining and knowledge discovery in combination with Geographic Information System (GIS) technology to find pertinent information from the land use/land cover change detection database. The main objective of this study is to utilize spatial data mining techniques to clarify the association patterns hidden within spatial attribution and land change investigation data for non-urban land to gain insight into potential causal relationships between land exploitation and spatial objects. The extracted knowledge can serve as a reference for authorities to observe the essential elements of illegal agrarian usage and lead to more effective land management policies for protecting Taiwan's land resources.