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Modeling owner-occupied single-family house values in the City of Milwaukee: A geographically weighted regression approach
Danlin Yu
Earth and Environmental Studies
Research output
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Contribution to journal
›
Article
›
peer-review
50
Scopus citations
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Dive into the research topics of 'Modeling owner-occupied single-family house values in the City of Milwaukee: A geographically weighted regression approach'. Together they form a unique fingerprint.
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Keyphrases
Milwaukee
100%
Housing Value
100%
Regression Approach
100%
Geographically Weighted Regression
100%
Single-family House
100%
Spatial Non-stationarity
50%
Environmental Conditions
33%
House Attributes
33%
Historical Area
33%
Impervious Surface
16%
Negative Impact
16%
Remote Sensing Information
16%
Soil Surface
16%
Property Data
16%
Lake Michigan
16%
Poor Areas
16%
Bathroom
16%
Old Age Homes
16%
Suburban Area
16%
Total Population
16%
Air Conditioner
16%
Earth and Planetary Sciences
Geographically Weighted Regression
100%
Nonstationarity
100%
Suburban Areas
33%
Lake Michigan
33%
Remote Sensing
33%
Engineering
Stationarity
100%
Air Conditioner
33%
Negative Impact
33%
Data File
33%
Economics, Econometrics and Finance
Satellite Communication
100%