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Managing Uncertainty in Geospatial Predictive Models

Managing Uncertainty in Geospatial Predictive Models

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Author(s): Iftikhar U. Sikder (Cleveland State University, USA)
Copyright: 2013
Pages: 8
Source title: Geographic Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-2038-4.ch086

Keywords: Environment & Agriculture / Environmental Science and Technologies / Geoinformatics / Information Science Reference

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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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