Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations

International Journal of Geographical Information Science

Volumn 33, Issue 1, 2019, Pages 155-175

  Li, Ziqi ^a   Fotheringham, A Stewart ^a   Li, Wenwen ^a   Oshan, Taylor ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Geographically Weighted Regression; GWR; parallel computing; spatial analysis; statistical software

Indexed keywords

ALGORITHM; HEDONIC ANALYSIS; HETEROGENEITY; HOUSING MARKET; PARALLEL COMPUTING; REGRESSION ANALYSIS; SOFTWARE; SPATIAL ANALYSIS;

CALIFORNIA; LOS ANGELES [CALIFORNIA]; UNITED STATES;

EID: 85054525344     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2018.1521523     Document Type: Article

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