| Description |
1 online resource (xx, 244 pages) : illustrations. |
|
text file |
| Series |
Spatial information systems
|
|
Spatial information systems.
|
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Geographic information systems.
|
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Geographic information systems. |
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Genetic algorithms.
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Genetic algorithms. |
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Mathematical models.
|
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Mathematical models. |
| Genre/Form |
Electronic books.
|
| Added Author |
Raper, Jonathan.
|
| Other Form: |
Print version: Krzanowski, Roman. Spatial evolutionary modeling. Oxford : Oxford University Press, 2001 (DLC) 00037348 |
| ISBN |
142940390X (electronic book) |
|
9781429403900 |
|
0195135687 (Cloth) |
|
9780195135688 |
|
