Geospatial predictive modeling: Difference between revisions

Revision as of 00:04, 13 August 2009

Revision as of 01:07, 23 October 2009

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== Predictive models ==

There are two broad types of geospatial predictive models: deductive and inductive.

[[Image:Signature_Analyst_Assessment_of_DC.jpg|thumb|right|250px|Crime Forecast of Washington DC. Red and orange colors indicate areas of high risk. The risk assessment was generated using an inductive predictive modeling tool called ''[http://www.spadac.com/SignatureAnalyst/ Signature Analyst]''. Signature Analyst is used to analyze past events and predict where subsequent events are most likely to occur.]]

=== Deductive method ===

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In this deductive model, high suitability locations for the set of events are constrained and

influenced by non-empirically calculated spatial ranges for airports, land cover, and elevationlowerelevation lower

suitability areas would be all else. The accuracy and detail of the deductive model is

limited by the depth of qualitative data inputs to the model.