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  • © 2010

Geospatial Analysis and Modelling of Urban Structure and Dynamics

  • This book covers a wide range of urban issues using advanced geospatial analysis and modelling, including visual analysis
  • Foreword by Michael Batty
  • Epilog by Michael F. Goodchild

Part of the book series: GeoJournal Library (GEJL, volume 99)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xxxiii
  2. Introduction

    1. Front Matter

      Pages 1-1
  3. Individual-Based Data Capture for Modeling Urban Structure and Dynamics

    1. Front Matter

      Pages 13-13
    2. Space Syntax and Pervasive Systems

      • Vassilis Kostakos
      Pages 31-52
    3. Decentralized Spatial Computing in Urban Environments

      • Patrick Laube, Matt Duckham, Mike Worboys, Tony Joyce
      Pages 53-74
  4. Modeling Urban Complexity and Hierarchy

    1. Front Matter

      Pages 75-75
    2. Network Cities: A Complexity-Network Approach to Urban Dynamics and Development

      • Efrat Blumenfeld-Lieberthal, Juval Portugali
      Pages 77-90
  5. Simulating and Modeling Urban Transportation Systems

    1. Front Matter

      Pages 119-119
    2. Multiscale Modeling of Virtual Urban Environments and Associated Populations

      • Walid Chaker, Bernard Moulin, Marius Thériault
      Pages 139-162
    3. Imageability and Topological Eccentricity of Urban Streets

      • Itzhak Omer, Bin Jiang
      Pages 163-175
  6. Analyzing and Modeling Urban Grown, Urban Changes and Impacts

    1. Front Matter

      Pages 221-221
    2. Modeling Urban Effects on the Precipitation Component of the Water Cycle

      • Marshall Shepherd, Willis Shem, Lauren Hand, Michael Manyin, Dmitry Messen
      Pages 265-292

About this book

A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory intoforms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.

Editors and Affiliations

  • Inst. Teknik, Div. Geomatics, University of Gävle, Gävle, Sweden

    Bin Jiang

  • Dept. Geography, University of Georgia, Athens, USA

    Xiaobai Yao

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access