© 2013

Spatial Microsimulation: A Reference Guide for Users

  • Robert Tanton
  • Kimberley Edwards

Part of the Understanding Population Trends and Processes book series (UPTA, volume 6)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Background

    1. Front Matter
      Pages 1-1
    2. Rebecca Cassells, Riyana Miranti, Ann Harding
      Pages 9-16
  3. Static Spatial Microsimulation Models

  4. Dynamic Spatial Microsimulation Models

    1. Front Matter
      Pages 169-169
    2. Einar Holm, Kalle Mäkilä
      Pages 195-207
    3. Dimitris Kavroudakis, Dimitris Ballas, Mark Birkin
      Pages 209-222
  5. Validation of Spatial Microsimulation Models and Conclusion

    1. Front Matter
      Pages 247-247
    2. Kimberley L. Edwards, Robert Tanton
      Pages 249-258

About this book


This book is a practical guide on how to design, create and validate a spatial microsimulation model. These models are becoming more popular as academics and policy makers recognise the value of place in research and policy making. Recent spatial microsimulation models have been used to analyse health and social disadvantage for small areas; and to look at the effect of policy change for small areas. This provides a powerful analysis tool for researchers and policy makers.


This book covers preparing the data for spatial microsimulation; a number of methods for both static and dynamic spatial microsimulation models; validation of the models to ensure the outputs are reasonable; and the future of spatial microsimulation. The book will be an essential handbook for any researcher or policy maker looking to design and create a spatial microsimulation model.


This book will also be useful to those policy makers who are commissioning a spatial microsimulation model, or looking to commission work using a spatial microsimulation model, as it provides information on the different methods in a non-technical way.


Access to GP services Combinatorial optimisation (deterministic) Model Combinatorial optimisation methodologies Demographic planning Educational inequalities Generalised regression model Health and social disadvantage Income deprivation Long term illness Meso-scale models Moses Policy analysis SimEducation SimObesity Small area estimation Small area income deprivation Spatial Microsimulation models Synthetic reconstruction Synthetic small-erea microdata

Editors and affiliations

  • Robert Tanton
    • 1
  • Kimberley Edwards
    • 2
  1. 1., University of CanberraNATSEMCanberraAustralia
  2. 2., Centre for Sports MedicineUniversity of NottinghamNottinghamUnited Kingdom

Bibliographic information

Industry Sectors
Finance, Business & Banking


“This edited volume serves as a guide for those looking to learn more about spatial microsimulation modeling. … The book is well organized and topics appear sequentially. This text includes many useful topics and procedures for practitioners and researchers alike in the arena of spatial microsimulation. … Those intending to research further into the benefits of the use of microsimulation models should find this text very informative.” (S. E. Ahmed, Technometrics, Vol. 57 (1), February, 2015)