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Spatial Microsimulation with R / Robin Lovelace, Morgane Dumont; with the assistance of Richard Ellison and Maja Zaloznik.

By: Contributor(s): Material type: TextTextSeries: The R seriesPublication details: Boca Raton : CRC Press, ©2016.Description: xxi, 259 pages : illustrations ; 23 cmISBN:
  • 9781498711548
Subject(s): DDC classification:
  • 000SA.08 23 L898
Contents:
I. Introducing spatial microsimulation with R -- 1. Introduction -- 2. SimpleWorld: A worked example of spatial microsimulation -- 3. What is spatial microsimulation? -- II. Generating spatial microdata -- 4. Data preparation -- 5. Population synthesis -- 6. Alternative approaches to population synthesis -- 7. Spatial microsimulation in the wild -- 8. Model checking and evaluation -- 9. Population synthesis without microdata -- 10. Household allocation -- III. Modelling spatial microdata -- 11. The TRESIS approach to spatial microsimulation -- 12. Spatial microsimulation for agent-based models -- 13. Appendix: Getting up-to-speed with R.
Summary: This is the first practical book on spatial microsimulation, an approach that in volves tje generation, analysis, and modeling of individual-level data allocated to geographical zones. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets of administrative zones.
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Includes bibliographical references and index.

I. Introducing spatial microsimulation with R --
1. Introduction --
2. SimpleWorld: A worked example of spatial microsimulation -- 3. What is spatial microsimulation? --
II. Generating spatial microdata --
4. Data preparation --
5. Population synthesis --
6. Alternative approaches to population synthesis --
7. Spatial microsimulation in the wild --
8. Model checking and evaluation --
9. Population synthesis without microdata --
10. Household allocation --
III. Modelling spatial microdata --
11. The TRESIS approach to spatial microsimulation --
12. Spatial microsimulation for agent-based models --
13. Appendix: Getting up-to-speed with R.

This is the first practical book on spatial microsimulation, an approach that in volves tje generation, analysis, and modeling of individual-level data allocated to geographical zones. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets of administrative zones.

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