Mathematical Models in Geography

Sergio J. Rey

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

This article explores the role of mathematical modeling within human geography. The focus is thematic in nature providing an overview of a highly diverse literature. The approaches to modeling in geography are organized as a typology that classifies models according to genre and applications. Key methodological challenges that distinguish geographic modeling from that practiced in other social science disciplines are discussed. These include issues related to spatial dependence, changes in geographical scale as well as the question of local contextual effects, and their treatment in geographical models. This article ends with some comments about the future prospects for geographical modeling.

Original languageEnglish (US)
Title of host publicationInternational Encyclopedia of the Social & Behavioral Sciences: Second Edition
PublisherElsevier Inc.
Pages785-790
Number of pages6
ISBN (Electronic)9780080970875
ISBN (Print)9780080970868
DOIs
StatePublished - Mar 26 2015

Keywords

  • Deterministic models
  • Geocomputation
  • Human geography
  • Modeling
  • Optimization
  • Simulation
  • Spatial analysis
  • Spatial autocorrelation
  • Spatial scale
  • Stochastic models

ASJC Scopus subject areas

  • Social Sciences(all)

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