Reference Type | Journal (article/letter/editorial) |
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Title | Multi-hierarchical spatial clustering for characteristic towns in China: An Orange-based framework to integrate GIS and Geodetector |
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Journal | Journal of Geographical Sciences |
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Authors | Zhang, Zuo | Author |
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Dou, Yuqian | Author |
Liu, Xiaoge | Author |
Gong, Zhe | Author |
Year | 2023 (March) | Volume | 33 |
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Issue | 3 |
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Publisher | Springer Science and Business Media LLC |
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DOI | doi:10.1007/s11442-023-2098-6Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 15744078 | Long-form Identifier | mindat:1:5:15744078:4 |
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GUID | 0 |
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Full Reference | Zhang, Zuo, Dou, Yuqian, Liu, Xiaoge, Gong, Zhe (2023) Multi-hierarchical spatial clustering for characteristic towns in China: An Orange-based framework to integrate GIS and Geodetector. Journal of Geographical Sciences, 33 (3) 618-638 doi:10.1007/s11442-023-2098-6 |
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Plain Text | Zhang, Zuo, Dou, Yuqian, Liu, Xiaoge, Gong, Zhe (2023) Multi-hierarchical spatial clustering for characteristic towns in China: An Orange-based framework to integrate GIS and Geodetector. Journal of Geographical Sciences, 33 (3) 618-638 doi:10.1007/s11442-023-2098-6 |
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In | (2023, March) Journal of Geographical Sciences Vol. 33 (3) Springer Science and Business Media LLC |
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