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130626 ||| eng |
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|a 9783642237058
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| 100 |
1 |
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|a Jokar Arsanjani, Jamal
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| 245 |
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|a Dynamic land use/cover change modelling
|h Elektronische Ressource
|b Geosimulation and multiagent-based modelling
|c by Jamal Jokar Arsanjani
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| 250 |
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|a 1st ed. 2012
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2012, 2012
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| 300 |
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|a XVI, 140 p
|b online resource
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| 505 |
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|a 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
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| 653 |
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|a Geographical Information System
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| 653 |
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|a Human Geography
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| 653 |
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|a Human geography
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| 653 |
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|a Geographic information systems
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Springer Theses, Recognizing Outstanding Ph.D. Research
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| 028 |
5 |
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|a 10.1007/978-3-642-23705-8
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| 856 |
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|u https://doi.org/10.1007/978-3-642-23705-8?nosfx=y
|x Verlag
|3 Volltext
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|a 910,285
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| 520 |
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|a 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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