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|a Krzanowski, Roman.
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|a Spatial evolutionary modeling /
|c Roman Krzanowski, Jonathan Raper.
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|a Oxford :
|b Oxford University Press,
|c 2001.
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|a 1 online resource (xx, 244 pages) :
|b illustrations.
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|a Spatial information systems
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|a Includes bibliographical references and index.
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|a Print version record.
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|a Annotation Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problemsare often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.
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|a Geographic information systems.
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650 |
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|a Genetic algorithms.
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650 |
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0 |
|a Mathematical models.
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650 |
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6 |
|a Systèmes d'information géographique.
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650 |
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6 |
|a Algorithmes génétiques.
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650 |
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6 |
|a Modèles mathématiques.
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|x Remote Sensing & Geographic Information Systems.
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|a Algoritmen.
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|a Evolutionaire biologie.
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|a Electronic book.
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655 |
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|a geographic information systems.
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655 |
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655 |
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|a Raper, Jonathan.
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776 |
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|i Print version:
|a Krzanowski, Roman.
|t Spatial evolutionary modeling.
|d Oxford : Oxford University Press, 2001
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