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Springer Spatial Microsimulation: A Reference Guide for Users

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Description

This practical guide teaches you how to design, create and validate spatial microsimulation models - powerful tools for analysing health, social disadvantage and policy impacts across small geographic areas. Written for academics and policy makers, the book covers essential techniques for preparing data, implementing both static and dynamic spatial microsimulation methods, and applying these models to real-world research questions. Spatial microsimulation has emerged as a critical methodology for understanding population trends and processes at the local level, enabling evidence-based decision-making for targeted interventions and policy evaluation. Whether you're new to the field or seeking to refine your modelling skills, this Springer reference provides comprehensive, hands-on instruction for building robust spatial microsimulation models that deliver actionable insights for your research or policy work.

Key Features

Spatial Microsimulation covers practical methods for designing and validating microsimulation models that reveal population patterns at small geographic scales.

The guide addresses data preparation techniques essential for building accurate spatial microsimulation models from raw datasets.

Both static and dynamic spatial microsimulation approaches are explained with detailed methodology suitable for researchers and policy analysts.

Real-world applications demonstrate how spatial microsimulation models analyse health disparities and social disadvantage across local areas.

This Springer reference shows how to assess policy change impacts on small areas using spatial microsimulation modelling frameworks.

The book serves as part of the Understanding Population Trends and Processes series, providing contextual knowledge for demographic research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 December 2014
Listed Since
04 December 2014

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No barcode data available

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