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        <identifier>oai:www.ideals.illinois.edu:2142/20854</identifier>
        <datestamp>2023-07-10</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Hopkins, Lewis D.</dc:contributor>
          <dc:creator>Westervelt, James Dahl</dc:creator>
          <dc:date>2011-05-07T12:51:15Z</dc:date>
          <dc:date>2011-05-07T12:51:15Z</dc:date>
          <dc:date>10000-01-01</dc:date>
          <dc:date>1996</dc:date>
          <dc:description>Geographical Modeling Systems (GMS) are computer based, dynamic landscape simulation tools. As computing power continues to become cheaper and faster, GMSs will become increasingly important for the intelligent management of landscapes. However, a number of technical challenges must be met before GMS capabilities are widely accepted, several of which are addressed in this research. First, because landscape processes occur and are modeled at a variety of spatio-temporal scales, it is necessary to support simultaneous simulation of disparate scales. Second, current landscape decision support systems lack the ability to simulate the behavior of individuals. Simulation modeling of populations is unsuitable for very low population densities where the location of individuals on a large, diverse, and fragmented terrain is important. Finally, in a management setting, techniques for linking distinct landscape models to run simultaneously are necessary. All of these capabilities should run on a common platform with a consistent user interface. More importantly, each submodel should relax its requirement to hold the landscape constant and instead share dynamically varying states between submodels. This effort develops fundamental approaches with prototypes for the simulation of mobile entities within dynamic landscapes.</dc:description>
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  Previous issue date: 1996</dc:description>
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Item is restricted indefinitely.</dc:description>
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Original Data
Group with Access UIUC Users [automated]
Release Date: none
Reason: ETDs are only available to UIUC Users without author permission</dc:description>
          <dc:description>ETDs are only available to UIUC Users without author permission</dc:description>
          <dc:description>U of I Only</dc:description>
          <dc:identifier>AAI9625214</dc:identifier>
          <dc:identifier>(UMI)AAI9625214</dc:identifier>
          <dc:identifier>http://hdl.handle.net/2142/20854</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>Copyright 1996 Westervelt, James Dahl</dc:rights>
          <dc:subject>Physical Geography</dc:subject>
          <dc:subject>Engineering, Civil</dc:subject>
          <dc:subject>Urban and Regional Planning</dc:subject>
          <dc:title>Simulating mobile objects in dynamic landscape processes</dc:title>
          <dc:type>text</dc:type>
          <degree>
            <department>Urban and Regional Planning</department>
            <discipline>Urban and Regional Planning</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
          </degree>
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