the spatial estimation of appartment rents: a brief introduction
TRANSCRIPT
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The spatial estimation of appartment rents: A brief
introduction
Harald Schernthanner
My research Spatial analysis and visualization of appartment rents, to optimize the spatial view of real estate portals. Machine learning, Geographic
weighted regression and Kriging to improve spatial rental price estimation.
Application of different R packages: raster / spded / gstat / RandomForest
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Publishing average appartment rents is nonsense from a researchers point of view.
Rental price modelling done by real estate portals is non spatial. Analysis and maps base on descriptive statistics and/or hedonic analysis.
Hedonic regression = Non spatial state of the art
Equation estimates based on "intrinsic" values:
Room number Space in m² Kitchen
Spatial Interpolation Gitta Info (2015) Unknown points
are predicted by surrounding points.
Maps of temperature or height are common applications.
First Law of Geography - basic principle behind interpolation
"Everything is related to everything else, but near things are more related than distant things."
Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(2): 234-240.
Ressources
International Journal of Housing Markets and Analysis
Immobilienzeitung Gentrification blog Immobilienportale.com