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Applied Spatial Modelling and Planning

List Price: $62.99
SKU:
9780367873646
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  • Product Details

    Author:
    John R. Lombard, Eliahu Stern, Graham Clarke
    Format:
    Paperback
    Pages:
    396
    Publisher:
    Taylor & Francis (December 18, 2020)
    Language:
    English
    ISBN-13:
    9780367873646
    Weight:
    16oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260715050412414-20260715.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $62.99
    Series:
    Routledge Advances in Regional Economics, Science and Policy
    As low as:
    $59.84
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Case Pack:
    1
    Audience:
    College/higher education
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    Routledge
  • Overview

    This book highlights the extraordinary range of areas to which geographical analysis and spatial modelling can bring lessons and insights. It shows how these techniques have been used to address ‘real world’ issues that are of concern to international organisations, public agencies and businesses, as illustrated by actual funded projects that geographers have developed collaboratively with end-users.





    Applied Spatial Modelling and Planning shows how much geographical research is policy relevant to a wide variety of agencies through the use of GIS and spatial modelling in applied geography. The book’s chapters contain a cross-section of innovative applications and approaches to problem solving within five major domains of the dynamics of economic space, housing and settlements, population movements and population ageing, health care, and the environment. Using a number of case studies on the use of GIS and spatial modelling, this book demonstrates the fact that much of what is done by quantitative geographers is not only relevant within academia, but also has use in policy work.





    This book will appeal to an international audience interested in cutting-edge spatial modelling to better understand the processes involved in solving real problems.