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Geospatial Analysis and Modelling of Urban Structure and Dynamics

  • Book
  • © 2010

Overview

Editors:
  1. Bin Jiang

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

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  2. Xiaobai Yao

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

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    You can also search for this editor in PubMed   Google Scholar

  • 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
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Geospatial Analysis and Modeling of Urban Structure and Dynamics: An Overview

      • Bin Jiang, Xiaobai Yao
      Pages 3-11

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

    1. Front Matter

      Pages 13-13
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    2. High-Resolution Geographic Data and Urban Modeling: The Case of Residential Segregation

      • Itzhak Omer
      Pages 15-29

    3. Space Syntax and Pervasive Systems

      • Vassilis Kostakos
      Pages 31-52

    4. 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
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    2. Network Cities: A Complexity-Network Approach to Urban Dynamics and Development

      • Efrat Blumenfeld-Lieberthal, Juval Portugali
      Pages 77-90

    3. Scaling Analysis of the Cascade Structure of the Hierarchy of Cities

      • Yanguang Chen
      Pages 91-117

  5. Simulating and Modeling Urban Transportation Systems

    1. Front Matter

      Pages 119-119
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    2. The Dilemma of On-Street Parking Policy: Exploring Cruising for Parking Using an Agent-Based Model

      • Karel Martens, Itzhak Benenson, Nadav Levy
      Pages 121-138

    3. Multiscale Modeling of Virtual Urban Environments and Associated Populations

      • Walid Chaker, Bernard Moulin, Marius Thériault
      Pages 139-162

    4. Imageability and Topological Eccentricity of Urban Streets

      • Itzhak Omer, Bin Jiang
      Pages 163-175

    5. A Spatial Analysis of Transportation Convenience in Beijing: Users’ Perception Versus Objective Measurements

      • Yongmei Lu, Weihong Yin, Jing Chen
      Pages 177-195

    6. Object-Oriented Data Modeling of an Indoor/Outdoor Urban Transportation Network and Route Planning Analysis

      • Deelesh Mandloi, Jean-Claude Thill
      Pages 197-220

  6. Analyzing and Modeling Urban Grown, Urban Changes and Impacts

    1. Front Matter

      Pages 221-221
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    2. Integration of Remote Sensing with GIS for Urban Growth Characterization

      • Xiaojun Yang
      Pages 223-250

    3. Evaluating the Ecological and Environmental Impact of Urbanization in the Greater Toronto Area through Multi-Temporal Remotely Sensed Data and Landscape Ecological Measures

      • Dongmei Chen, Wenbao Liu, Jie Tian, Peter Luciani
      Pages 251-264

    4. Modeling Urban Effects on the Precipitation Component of the Water Cycle

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

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

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