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. Content Level » Research Keywords » 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