Dynamic land use/cover change modelling
Geosimulation and multiagent-based modelling
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Beschreibung
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.
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.
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
Autor*in
Jamal Jokar Arsanjani
Themen in »Dynamic land use/cover change modelling«
GIS Land use Urban development agent-based modelling demography geosimulation land cover remote sensing remote sensing/photogrammetry landscape/regional and urban planning
Stimmen zu »Dynamic land use/cover change modelling«
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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