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  • Book
  • © 2012

Dynamic land use/cover change modelling

Geosimulation and multiagent-based modelling

  • Nominated by University of Vienna for a Springer Theses Prize
  • The author developed a new Agent-Based Model that simulates land use change in the Tehran metropolitan area
  • Traditional and new methodologies for the remote sensing of land use/cover change are compared, and advantages and disadvantages discussed
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xv
  2. General Introduction

    • Jamal Jokar Arsanjani
    Pages 1-8
  3. Literature Review

    • Jamal Jokar Arsanjani
    Pages 9-44
  4. Study Area Description

    • Jamal Jokar Arsanjani
    Pages 45-57
  5. Data Preparation and Processing

    • Jamal Jokar Arsanjani
    Pages 59-68
  6. Implementation of Traditional Techniques

    • Jamal Jokar Arsanjani
    Pages 69-94
  7. Designing and Implementing Multi Agent Geosimulation

    • Jamal Jokar Arsanjani
    Pages 95-108
  8. Analysis of Results

    • Jamal Jokar Arsanjani
    Pages 109-130
  9. Conclusions and Recommendations

    • Jamal Jokar Arsanjani
    Pages 131-139

About this book

The thesis is an original and novel contribution to land use/land cover change analysis using methods of geosimulation and agent-based modeling. The author implements several traditional methodologies of land use change by means of remote sensing and GIS techniques. An Agent-Based Model was developed in order to simulate land use change in the Tehran metropolitan area, comparing the outcomes of each particular methodology. All methods are compared, and advantages and disadvantages discussed.

Reviews

From the reviews:

“This book is a doctoral thesis by Jamal Jokar Arsanjani from the University of Vienna. … Arsanjani's work constitutes a successful application of five different models to a land use/cover change (LUCC) problem in Tehran. … Overall, this book is an excellent source for those working in similar areas, familiar with ABM, and concerned with methodological reflection and innovation … .” (Peter Johnson, Journal of Artificial Societies and Social Simulation, Vol. 15 (3), June, 2012)

Authors and Affiliations

  • , Department of Geography and Regional Res, University of Vienna, Vienna, Austria

    Jamal Jokar Arsanjani

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
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