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Dynamic land use/cover change modelling electronic resource Geosimulation and multiagent-based modelling / by Jamal Jokar Arsanjani.

By: Jokar Arsanjani, Jamal [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Springer ThesesPublication details: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: XVI, 140 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642237058Subject(s): geography | Remote sensing | Geographical information systems | Regional planning | Geography | Remote Sensing/Photogrammetry | Landscape/Regional and Urban Planning | Geographical Information Systems/CartographyDDC classification: 910.285 LOC classification: GA102.4.R44G70.39-70.6Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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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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.

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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