Integration of gis and data mining technology for land management

Ya Wen Lin, Ming Chi Wu, Yao Cheng Kuo, Chi Farn Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages1890-1895
Number of pages6
StatePublished - 2011
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
Duration: 3 Oct 20117 Oct 2011

Publication series

Name32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Volume3

Conference

Conference32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Country/TerritoryTaiwan
CityTapei
Period3/10/117/10/11

Keywords

  • Knowledge discovery
  • Land management
  • Spatial data mining

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