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Managing Uncertainty in Geospatial Predictive Models
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Author(s): Iftikhar U. Sikder (Cleveland State University, USA)
Copyright: 2009
Pages: 8
Source title:
Handbook of Research on Geoinformatics
Source Author(s)/Editor(s): Hassan A. Karimi (University of Pittsburgh, USA)
DOI: 10.4018/978-1-59140-995-3.ch041
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Abstract
Geospatial predictive models often require mapping of predefined concepts or categories with various conditioning factors in a given space. This chapter discusses various aspects of uncertainty in predictive modeling by characterizing different typologies of classification uncertainty. It argues that understanding uncertainty semantics is a perquisite for efficient handling and management of predictive models.
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