Applying spatial data mining to develop a predicative model for illegal land exploitaion

Research output: Contribution to conferencePaperpeer-review

Abstract

A large-scale land use/land cover change detection system has been developed to detect illegal land practice for the land management administrations in Taiwan since 2001. Through long-term and regular monitoring of land change, the system has accumulated a mass investigation data of illegal land practice. The main objective of this study is to build a predictive model with the integration of data mining technology and Geographic Information Systems (GIS). The model incorporates spatial attributes with land change investigation data to gain insight into the relationship between illegal land exploitation and spatial data. Consequently, the predictive model can serve as a reference for authorities to identify critical factors of illegal land use and conduct land management policies for Taiwan in a more effective way.

Original languageEnglish
StatePublished - 2015
Event36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines
Duration: 24 Oct 201528 Oct 2015

Conference

Conference36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
Country/TerritoryPhilippines
CityQuezon City, Metro Manila
Period24/10/1528/10/15

Keywords

  • Geographic information systems
  • Land management
  • Land use/land cover change
  • Spatial data mining

Fingerprint

Dive into the research topics of 'Applying spatial data mining to develop a predicative model for illegal land exploitaion'. Together they form a unique fingerprint.

Cite this