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<https://data.globalchange.gov/article/10.1080/136588198241617>   
   dcterms:identifier "10.1080/136588198241617";
   dcterms:title "Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore"^^xsd:string;
   dcterms:isPartOf <https://data.globalchange.gov/journal/international-journal-geographical-information-science>;
   bibo:volume "12";
   bibo:pages "699-714";
   bibo:doi "10.1080/136588198241617";

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## Contributors:
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## This article is cited by the following entities in GCIS:



<https://data.globalchange.gov/article/10.1080/136588198241617>
   prov:wasDerivedFrom <https://data.globalchange.gov/report/usgcrp-need-options-subnational-scale-land-use-land-cover-scenarios-united-states>.

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