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Dynamic land use/cover change modelling: Geosimulation and multiagent-based modelling de Jamal Jokar Arsanjani

Dynamic land use/cover change modelling: Geosimulation and multiagent-based modelling: Springer Theses

Autor Jamal Jokar Arsanjani
en Limba Engleză Hardback – 2 oct 2011
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.
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Specificații

ISBN-13: 9783642237041
ISBN-10: 3642237045
Pagini: 190
Ilustrații: XVI, 140 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.27 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Theses

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Recenzii

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)

Textul de pe ultima copertă

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.

Caracteristici

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