Spatially varying coefficient models in real estate: Eigenvector spatial filtering and alternative approaches

Computers, Environment and Urban Systems

Volumn 57, Issue , 2016, Pages 1-11

  Helbich, Marco ^a   Griffith, Daniel A ^b  

^a UTRECHT UNIVERSITY   (Netherlands)

^b UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

Eigenvector spatial filtering; Geographically weighted regression; Hedonic models; Housing; Moving window regression; Prediction accuracy; Spatial expansion method

Indexed keywords

BEAMFORMING; EIGENVALUES AND EIGENFUNCTIONS; FORECASTING; GENETIC ALGORITHMS; HOUSING; MULTIVARIABLE SYSTEMS; REGRESSION ANALYSIS;

GEOGRAPHICALLY WEIGHTED REGRESSION; HEDONIC MODEL; MOVING WINDOW REGRESSIONS; PREDICTION ACCURACY; SPATIAL EXPANSION; SPATIAL FILTERINGS;

PARAMETER ESTIMATION;

EIGENVALUE; HEDONIC ANALYSIS; LAND MARKET; METROPOLITAN AREA; NUMERICAL MODEL; SPATIAL ANALYSIS; URBAN HOUSING; URBAN POLICY;

AUSTRIA; VIENNA;

EID: 84953723258     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2015.12.002     Document Type: Article

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