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The spatial estimation of
appartment rents: A brief
introduction
Harald Schernthanner
harald@schernthanner.de
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
harald@schernthanner.de 3/10
Publishing average appartment rents is
nonsense from a researchers point of view.
harald@schernthanner.de
 Rental price modelling done by real
estate portals is non spatial.
 Analysis and maps base on
descriptive statistics and/or hedonic
analysis.
harald@schernthanner.de
Hedonic regression = Non spatial
state of the art
 Equation estimates based
on "intrinsic" values:
 Room number
 Space in m²
 Kitchen
harald@schernthanner.de
Spatial Interpolation
Gitta Info (2015) 
Unknown points
are predicted by
surrounding points.

Maps of
temperature or
height are common
applications.
harald@schernthanner.de
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.
harald@schernthanner.de
State of the art - median rental price
harald@schernthanner.de
State of the art - quiete coarse
harald@schernthanner.de
Trend surface for 70m² flats 05/15
14 € / m² → Why no legend?
harald@schernthanner.de
State of the art - overview?
harald@schernthanner.de
Trend surface - Residential areas
harald@schernthanner.de
Rental estimation per building
block
harald@schernthanner.de
Rental estimation as thematic
building height
harald@schernthanner.de
Ressources
 International Journal
of Housing Markets and
Analysis
 Immobilienzeitung
 Gentrification blog
 Immobilienportale.com

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The spatial estimation of appartment rents: A brief introduction