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Discovering controlling factors of geospatial variables

  • Tomasz Stepinski
  • , Wei Ding
  • , Christoph F. Eick
  • Universities Space Research Association
  • University of Houston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Efficient means of determining factors controlling spatial distribution of an environmental class variable are of significant interest in Earth science. In this paper, we present a method for automated discovery of controlling factors by mining for emerging patterns in a database constructed from the fusion of several explanatory datasets. We introduce a new definition of pattern support to account for spatial character of the data and systematically evaluate the effectiveness of our technique using a real-world application pertaining to density of vegetation cover. Experimental results show that our method can successfully identify controlling factors for the presence of high vegetation cover.

Original languageEnglish
Title of host publicationProceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS 2008
Pages391-394
Number of pages4
DOIs
StatePublished - 2008
Event16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS 2008 - Irvine, CA, United States
Duration: Nov 5 2008 → Nov 7 2008

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Conference

Conference16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS 2008
Country/TerritoryUnited States
CityIrvine, CA
Period11/5/08 → 11/7/08

ASJC Scopus Subject Areas

  • Earth-Surface Processes
  • Computer Science Applications
  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

Keywords

  • Controlling factors
  • Emerging patterns
  • Spatial data mining

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