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

Inhalt
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.