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Erschienen in:

2014 | OriginalPaper | Buchkapitel

63. Spatial Microsimulation

verfasst von : Dr. Alison J. Heppenstall, Dr. Dianna M. Smith

Erschienen in: Handbook of Regional Science

Verlag: Springer Berlin Heidelberg

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Abstract

Spatial microsimulation is an excellent option to create estimated populations at a range of spatial scales where data may be otherwise unavailable. In this chapter, we outline three common methods of spatial microsimulation, identifying the relative strengths and weaknesses of each approach. We conclude with a worked example using deterministic reweighting to estimate tobacco smoking prevalence by neighborhood in London, UK. This illustrates how spatial microsimulation may be used to estimate not only populations but also behaviors and how this information may then be used to predict the outcomes of policy change at the local level.

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Vorheriges Kapitel Cellular Automata and Agent-Based Models

Nächstes Kapitel Spatial Network Analysis

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Titel: Spatial Microsimulation
verfasst von: Dr. Alison J. Heppenstall
Dr. Dianna M. Smith
Verlag: Springer Berlin Heidelberg
Buch: Handbook of Regional Science
Print ISBN: 978-3-642-23429-3

Electronic ISBN: 978-3-642-23430-9

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-642-23430-9_65

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