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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.
List of contents
General Introduction.- Literature Review.- Study Area Description.- Data Preparation and Processing.- Implementation of Traditional Techniques.- Designing and Implementing Multi Agent Geosimulation.- Analysis of Results.- Conclusions and Recommendations.
Summary
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.
Additional text
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)
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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)
