A probabilistic optimal estimation method for detecting spatial fuzzy communities.

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Title: A probabilistic optimal estimation method for detecting spatial fuzzy communities.
Authors: He, Xiao1, Liu, Baoju1,2, baojuliu@csu.edu.cn, Shi, Yan1,2, Tang, Zhongan2,3, Deng, Min1,2, Tang, Jianbo1,2
Source: International Journal of Geographical Information Science; Oct2025, Vol. 39 Issue 10, p2267-2299, 33p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 187695861
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  Data: A probabilistic optimal estimation method for detecting spatial fuzzy communities.
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  Data: <searchLink fieldCode="AU" term="%22He%2C+Xiao%22">He, Xiao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Baoju%22">Liu, Baoju</searchLink><relatesTo>1,2</relatesTo>, <i>baojuliu@csu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Shi%2C+Yan%22">Shi, Yan</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Tang%2C+Zhongan%22">Tang, Zhongan</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Deng%2C+Min%22">Deng, Min</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Tang%2C+Jianbo%22">Tang, Jianbo</searchLink><relatesTo>1,2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>; Oct2025, Vol. 39 Issue 10, p2267-2299, 33p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187695861
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13658816.2025.2483850
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      – Code: eng
        Text: English
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        PageCount: 33
        StartPage: 2267
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      – TitleFull: A probabilistic optimal estimation method for detecting spatial fuzzy communities.
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            NameFull: He, Xiao
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            NameFull: Liu, Baoju
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            NameFull: Shi, Yan
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            NameFull: Tang, Zhongan
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            NameFull: Deng, Min
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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