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Discovering controlling factors of geospatial variables

Authors:

Tomasz Stepinski,

Wei Ding,

Christoph F. EickAuthors Info & Claims

GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems

Article No.: 47, Pages 1 - 4

https://doi.org/10.1145/1463434.1463492

Published: 05 November 2008 Publication History

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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.

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Cited By

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(2012)BibliographyContrast Data Mining10.1201/b12986-34Online publication date: 10-Oct-2012
https://doi.org/10.1201/b12986-34
Stepinski TDing WEick C(2011)Controlling patterns of geospatial phenomenaGeoinformatica10.1007/s10707-010-0107-215:3(399-416)Online publication date: 1-Jul-2011
https://dl.acm.org/doi/10.1007/s10707-010-0107-2
Stepinski TSalazar JDing WAgrawal DZhang PAbbadi AMokbel M(2010)Exploring labeled spatial datasets using association analysisProceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/1869790.1869882(530-531)Online publication date: 2-Nov-2010
https://dl.acm.org/doi/10.1145/1869790.1869882

Index Terms

Discovering controlling factors of geospatial variables
1. Computing methodologies
  1. Machine learning

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Information

Published In

GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems

November 2008

559 pages

ISBN:9781605583235

DOI:10.1145/1463434

Program Chairs:
Walid G. Aref
Purdue University
,
Mohamed F. Mokbel
University of Minnesota
,
Markus Schneider
University of Florida

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2008

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GIS '08

Sponsor:

Microsoft
SIGSPATIAL

GIS '08: 16th International Symposium on Advances in Geographic Information Systems

November 5 - 7, 2008

California, Irvine

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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(2012)BibliographyContrast Data Mining10.1201/b12986-34Online publication date: 10-Oct-2012
https://doi.org/10.1201/b12986-34
Stepinski TDing WEick C(2011)Controlling patterns of geospatial phenomenaGeoinformatica10.1007/s10707-010-0107-215:3(399-416)Online publication date: 1-Jul-2011
https://dl.acm.org/doi/10.1007/s10707-010-0107-2
Stepinski TSalazar JDing WAgrawal DZhang PAbbadi AMokbel M(2010)Exploring labeled spatial datasets using association analysisProceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/1869790.1869882(530-531)Online publication date: 2-Nov-2010
https://dl.acm.org/doi/10.1145/1869790.1869882

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Using Geospatial Techniques to Analyze Landscape Factors Controlling Ionic Composition of Arctic Lakes, Toolik Lake Region, Alaska

Spatial Data Mining Features between General Data Mining

OESCPM: An Online Extended Spatial Co-location Pattern Mining System