Next Article in Journal
Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps
Previous Article in Journal
Machine Learning Generalisation across Different 3D Architectural Heritage
Open AccessArticle

Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression

Department of Spatial Analysis and Real Estate Market, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(6), 380; https://doi.org/10.3390/ijgi9060380
Received: 20 May 2020 / Revised: 4 June 2020 / Accepted: 5 June 2020 / Published: 9 June 2020
The main part of the study will be to demonstrate that models taking into account spatial heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted Regression) which reproduce housing market determinants better reflect market relationships than conventional regression models. The spatial heterogeneity of the housing market determinants results in the spatial diversity of the market activity, as well as of real estate prices and values. The main aim of the study was to analyse an effect of these socio-demographic and environmental factors on average housing property prices and on the number of transactions in a spatial approach. In previous research conducted on a national scale, usually all variables were treated in a similar way, i.e., as global or local variables. During the research, an attempt was also made to answer the question of which of the variables adopted for analysis have a local impact on prices and market activity, and which are global. The study was conducted in Poland and used data from the year 2018 on 380 counties (Local Administrative Units). The study showed that determinants both for average prices and for the housing market activity show spatial autocorrelation with high–high and low–low cluster groups. Owing to these models, it was possible to draw specific conclusions on local determinants of flat prices and the market activity in Poland. The study findings have confirmed that they are an extremely effective tool for spatial data analysis. View Full-Text
Keywords: housing prices; market activity; spatial analysis; geographically weighted regression; mixed geographically weighted regression housing prices; market activity; spatial analysis; geographically weighted regression; mixed geographically weighted regression
Show Figures

Graphical abstract

MDPI and ACS Style

Cellmer, R.; Cichulska, A.; Bełej, M. Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression. ISPRS Int. J. Geo-Inf. 2020, 9, 380.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop