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{{morefootnotes|date=June 2009}}
'''Geospatial predictive modeling''' is conceptually rooted in the principle that the occurrences of
events being modeled are limited in distribution. Occurrences of events are neither uniform
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== Predictive Models ==▼
▲== 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 Signature Analyst. Signature Analyst is used to analyze past events and predict where subsequent events are most likely to occur.]]
=== Deductive Method ===
The deductive method relies on qualitative data or a subject matter expert (SME) to describe
the relationship between event occurrences and factors that describe the environment. As a
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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.
=== Inductive Method ===
The inductive method relies on the empirically-calculated spatial relationship between
historical or known event occurrence locations and factors that make up the environment
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