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Chen, Kaiqi, Liu, Enbo, Deng, Min, Tan, Xiaoyong, Wang, Jiaoju, Shi, Yan, Wang, Zhizhong (2024) DKNN: deep kriging neural network for interpretable geospatial interpolation. International Journal of Geographical Information Science, 38 (8) 1486-1530 doi:10.1080/13658816.2024.2347316

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Reference TypeJournal (article/letter/editorial)
TitleDKNN: deep kriging neural network for interpretable geospatial interpolation
JournalInternational Journal of Geographical Information Science
AuthorsChen, KaiqiAuthor
Liu, EnboAuthor
Deng, MinAuthor
Tan, XiaoyongAuthor
Wang, JiaojuAuthor
Shi, YanAuthor
Wang, ZhizhongAuthor
Year2024 (August 2)Volume38
Page(s)1486-1530Issue8
PublisherInforma UK Limited
DOIdoi:10.1080/13658816.2024.2347316Search in ResearchGate
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Mindat Ref. ID17503846Long-form Identifiermindat:1:5:17503846:8
GUID0
Full ReferenceChen, Kaiqi, Liu, Enbo, Deng, Min, Tan, Xiaoyong, Wang, Jiaoju, Shi, Yan, Wang, Zhizhong (2024) DKNN: deep kriging neural network for interpretable geospatial interpolation. International Journal of Geographical Information Science, 38 (8) 1486-1530 doi:10.1080/13658816.2024.2347316
Plain TextChen, Kaiqi, Liu, Enbo, Deng, Min, Tan, Xiaoyong, Wang, Jiaoju, Shi, Yan, Wang, Zhizhong (2024) DKNN: deep kriging neural network for interpretable geospatial interpolation. International Journal of Geographical Information Science, 38 (8) 1486-1530 doi:10.1080/13658816.2024.2347316
In(2024, August) International Journal of Geographical Information Science Vol. 38 (8) Informa UK Limited

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Chen, Kaiqi, Deng, Min, Lei, Kaiyuan, Liu, Qinghao, Shi, Yan (2025) Adaptive Multi‐View Neural Network for Network‐Wide and Segment‐Wise Traffic Speed Estimation With Heterogeneous Missing Cases. Transactions in GIS, 29 (1). doi:10.1111/tgis.13295
Tang, Jianbo, Deng, Min, Peng, Ju, Liu, Huimin, Yang, Xuexi, Chen, Xueying (2024) Automatic road network selection method considering functional semantic features of roads with graph convolutional networks. International Journal of Geographical Information Science, 38 (11). doi:10.1080/13658816.2024.2387198
 
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