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. |
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| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 163822930 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A methodology to quantify the neighborhood decay effect of urban cellular automata models. – Name: Author Label: Authors Group: Au 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> – Name: TitleSource Label: Source Group: Src 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 BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zeng, Haoran – PersonEntity: Name: NameFull: Wang, Haijun – PersonEntity: Name: NameFull: Zhang, Bin – PersonEntity: Name: NameFull: Wang, Quan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13658816 Numbering: – Type: volume Value: 37 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Geographical Information Science Type: main |
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