Abstract
An association rule discovery system has been developed for geographic data. Association rules are applicable to the interpretation of remote sensing images, in which rules derived from another data set can provide ancillary data to guide land cover mapping. The software system developed, called Aspect, works with standard geographic data formats and extends the association rule formulation to handle spatial relationships. Multiple strategies provide guidance for selecting the relevant variables to include in the rules. Association rule results are presented that are derived from environmental conditions, anthropogenic features, land cover, and vegetation.
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Acknowledgments
This work was sponsored by the U. S. Army Topographic Engineering Center, Vicksburg Consolidated Contracting Office, under Contract No. W9132V-04-C-0025. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the US Army Corps of Engineers.
Robert Huizar III, of the University of North Carolina at Charlotte, assisted with the Sonoma County data sets. His contributions are gratefully acknowledged.
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Rodman, L.C., Jackson, J., Meentemeyer, R.K. (2010). An Association Rule Discovery System Applied to Geographic Data. In: Di, L., Ramapriyan, H. (eds) Standard-Based Data and Information Systems for Earth Observation. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88264-0_9
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DOI: https://doi.org/10.1007/978-3-540-88264-0_9
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