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Scalable GWR: A Linear-Time Algorithm for Large-Scale Geographically Weighted Regression with Polynomial Kernels.

Authors :
Murakami, Daisuke
Tsutsumida, Narumasa
Yoshida, Takahiro
Nakaya, Tomoki
Lu, Binbin
Source :
Annals of the American Association of Geographers; 2021, Vol. 111 Issue 2, p459-480, 22p, 2 Black and White Photographs, 2 Diagrams, 4 Charts, 9 Graphs, 4 Maps
Publication Year :
2021

Abstract

<i>Copyright of Annals of the American Association of Geographers is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
English
ISSN :
24694452
Volume :
111
Issue :
2
Database :
Complementary Index
Journal :
Annals of the American Association of Geographers
Publication Type :
Academic Journal
Accession number :
148515930
Full Text :
https://doi.org/10.1080/24694452.2020.1774350