Spatial Evolutionary Modeling
| AUTHOR | Krzanowski, R. M.; Krzanowski, R. M.; Raper, Jonathan et al. |
| PUBLISHER | Oxford University Press (08/02/2001) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
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 problems are 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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Product Format
Product Details
ISBN-13:
9780195135688
ISBN-10:
0195135687
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
272
Carton Quantity:
30
Product Dimensions:
6.40 x 0.81 x 9.54 inches
Weight:
1.28 pound(s)
Feature Codes:
Illustrated
Country of Origin:
JP
Subject Information
BISAC Categories
Science | Earth Sciences - Geography
Science | Information Technology
Science | Earth Sciences - Geology
Dewey Decimal:
910.285
Library of Congress Control Number:
00037348
Descriptions, Reviews, Etc.
publisher marketing
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 problems are 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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Your Price
$301.95