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  <titleInfo>
    <title>Spatial Evolutionary Modeling</title>
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  <name type="personal">
    <namePart>Krzanowski, Roman</namePart>
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    <publisher>Oxford University Press, USA</publisher>
    <dateIssued>2001</dateIssued>
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    <issuance>monographic</issuance>
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  <language>
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  <physicalDescription>
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    <extent>265 pages</extent>
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  <note>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</note>
  <subject>
    <topic>Computers</topic>
  </subject>
  <classification authority="ddc">910.285 KRZ</classification>
  <identifier type="isbn">9780195135688</identifier>
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    <recordCreationDate encoding="marc">250625</recordCreationDate>
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