Advancing replicable and reproducible GIScience: an approach with KNIME.

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Title: Advancing replicable and reproducible GIScience: an approach with KNIME.
Authors: Fu, Xiaokang1,2, Liu, Lingbo1, Guan, Weihe Wendy1, wguan@cga.harvard.edu, Kalra, Yogya1,3, Bao, Shuming4, Kötter, Tobias5, Sturm, Kevin5
Source: Cartography & Geographic Information Science; May2026, Vol. 53 Issue 3, p270-290, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193598920
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  Data: <searchLink fieldCode="JN" term="%22Cartography+%26+Geographic+Information+Science%22">Cartography & Geographic Information Science</searchLink>; May2026, Vol. 53 Issue 3, p270-290, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193598920
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/15230406.2024.2446556
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 270
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      – TitleFull: Advancing replicable and reproducible GIScience: an approach with KNIME.
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            NameFull: Fu, Xiaokang
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            NameFull: Liu, Lingbo
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            NameFull: Guan, Weihe Wendy
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            NameFull: Kalra, Yogya
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            NameFull: Bao, Shuming
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            NameFull: Kötter, Tobias
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            NameFull: Sturm, Kevin
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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            – TitleFull: Cartography & Geographic Information Science
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