A methodology to quantify the neighborhood decay effect of urban cellular automata models.

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Title: A methodology to quantify the neighborhood decay effect of urban cellular automata models.
Authors: Zeng, Haoran1, Wang, Haijun1,2, Zhang, Bin3, Wang, Quan1
Source: International Journal of Geographical Information Science; Jun2023, Vol. 37 Issue 6, p1236-1263, 28p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 163822930
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A methodology to quantify the neighborhood decay effect of urban cellular automata models.
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  Data: <searchLink fieldCode="AU" term="%22Zeng%2C+Haoran%22">Zeng, Haoran</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Haijun%22">Wang, Haijun</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Bin%22">Zhang, Bin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Quan%22">Wang, Quan</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>; Jun2023, Vol. 37 Issue 6, p1236-1263, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163822930
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/13658816.2023.2186412
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
        StartPage: 1236
    Titles:
      – TitleFull: A methodology to quantify the neighborhood decay effect of urban cellular automata models.
        Type: main
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          Name:
            NameFull: Zeng, Haoran
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            NameFull: Wang, Haijun
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            NameFull: Zhang, Bin
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            NameFull: Wang, Quan
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          Dates:
            – D: 01
              M: 06
              Text: Jun2023
              Type: published
              Y: 2023
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              Value: 13658816
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              Value: 37
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              Value: 6
          Titles:
            – TitleFull: International Journal of Geographical Information Science
              Type: main
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