Geographically weighted regression for the post carbon city and real estate market analysis: A case study

Smart Innovation, Systems and Technologies

Volumn 100, Issue , 2019, Pages 142-149

  Massimo, Domenico Enrico ^a   Del Giudice, Vincenzo ^b   De Paola, Pierfrancesco ^b   Forte, Fabiana ^c   Musolino, Mariangela ^a   Malerba, Alessandro ^a  

^a UNIVERSITY MEDITERRANEA OF REGGIO CALABRIA   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^c SECOND UNIVERSITY OF NAPLES   (Italy)

Author keywords

Geographically weighted regression (GWR); Green buildings; Post carbon city; Real estate market analysis; Spatial statistics

Indexed keywords

CARBON; REGRESSION ANALYSIS;

GEOGRAPHICALLY WEIGHTED REGRESSION; GREEN BUILDINGS; POST CARBON CITY; REAL ESTATE MARKET; SPATIAL STATISTICS;

COMMERCE;

EID: 85048010631     PISSN: 21903018     EISSN: 21903026     Source Type: Book Series    
DOI: 10.1007/978-3-319-92099-3_17     Document Type: Conference Paper

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