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that represent those constraints and influences. Geospatial predictive modeling is a process
for analyzing events through a geographic filter in order to make statements of likelihood for
event occurrence or emergence.<ref>*Gary P. Beauvais, Douglas A. Keinath, Pilar Hernandez, Larry Master, Rob Thurston. ''[http://www.natureserve.org/prodServices/pdf/EDM_white_paper_2.0.pdf Element Distribution Modeling: A Primer (Version 2)] {{Webarchive|url=https://web.archive.org/web/20160303185712/http://www.natureserve.org/prodServices/pdf/EDM_white_paper_2.0.pdf |date=2016-03-03 }}'', Natureserve, Arlington, Virginia, June 1, 2006, last referenced December 29, 2009</ref>
<ref>*Donald Brown, Jason Dalton, and Heidi Hoyle. ''[http://www.springerlink.com/content/9k5tqr6xtb1br393/ Spatial forecast methods for terrorist events in urban environments]'', In Proceedings of the Second NSF/NIJ Symposium on Intelligence and Security Informatics, Lecture Notes in Computer Science, pages 426–435, Tucson, Arizona, Springer-Verlag Heidelberg, June 2004.</ref>
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