%0 Journal Article %1 journals/gis/WuWDHZL21 %A Wu, Sensen %A Wang, Zhongyi %A Du, Zhenhong %A Huang, Bo %A Zhang, Feng %A Liu, Renyi %D 2021 %J Int. J. Geogr. Inf. Sci. %K dblp %N 3 %P 582-608 %T Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships. %U http://dblp.uni-trier.de/db/journals/gis/gis35.html#WuWDHZL21 %V 35

@article{journals/gis/WuWDHZL21, added-at = {2021-10-14T00:00:00.000+0200}, author = {Wu, Sensen and Wang, Zhongyi and Du, Zhenhong and Huang, Bo and Zhang, Feng and Liu, Renyi}, biburl = {https://www.bibsonomy.org/bibtex/2fb388e66dcc931ae28384be722fd48e7/dblp}, ee = {https://doi.org/10.1080/13658816.2020.1775836}, interhash = {a1265cc3aba1eac6fc092b450ef78e75}, intrahash = {fb388e66dcc931ae28384be722fd48e7}, journal = {Int. J. Geogr. Inf. Sci.}, keywords = {dblp}, number = 3, pages = {582-608}, timestamp = {2024-04-08T19:28:28.000+0200}, title = {Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships.}, url = {http://dblp.uni-trier.de/db/journals/gis/gis35.html#WuWDHZL21}, volume = 35, year = 2021 }