The Application of Spatial Analysis Methods in the Real Estate Market in South‑Eastern Poland

Authors

  • Dorota Dejniak State Higher School of Technology and Economics in Jarosław, Institute of Technical Engineering

DOI:

https://doi.org/10.18778/0208-6018.333.02

Keywords:

spatial econometrics, spatial autocorrelation, weight matrix, global correlation coefficient

Abstract

The aim of the article is to apply the method of spatial analysis to research the real estate property market in south‑eastern Poland. The methods of spatial statistics will be used to model the space differences of prices per one square metre of dwelling surface located in districts of south‑eastern Poland and to investigate spatial autocorrelation. The databases will be presented in a graphical form. The results may be used to set the spatial regularities and relations. The methods presented may be applied while making strategic decisions.

Downloads

Download data is not yet available.

References

Aldstadt J., Getis A. (2004), Constructing the Spatial Weights Matrix Using a Local Statistics, “Geographical Analysis”, vol. 36, no. 2, pp. 90–104.
Google Scholar

Anselin L. (1995), Local Indicators of Spatial Association – LISA, “Geographical Analysis”, vol. 27, no. 2, pp. 93–115.
Google Scholar

Basu S., Thibodeau T. (1998), Analysis of spatial autocorrelation in house prices, “Journal of Real Estate Finance and Economics”, vol. 17(1), pp. 61–85.
Google Scholar

Bivand R. (1980), Autokorelacja przestrzenna a metody analizy statystycznej w geografii, [in:] Z. Chojnicki (ed.), Analiza regresji w geografii, PWN, Poznań.
Google Scholar

Dydenko J. (ed.) (2015), Szacowanie nieruchomości. Rzeczoznawstwo majątkowe, Wolters Kluwer, Warszawa.
Google Scholar

Getis A., Ord J.K. (1995), Local spatial autocorrelation statistic: Distributional issues and an application, “Geographical Analysis”, vol. 27(4), pp. 286–306.
Google Scholar

Haining R. (2003), Spatial data analysis. Theory and practice, Oxford University Press, Oxford.
Google Scholar

Ismail S. (2006), Spatial Autocorrelation and Real Estate Studies: A Literature Review, “Malaysian Journal of Real Estate”, vol. 1, pp. 1–13
Google Scholar

Janc K. (2006), Zjawisko autokorelacji przestrzennej na przykładzie statystyki I Morana oraz lokalnych wskaźników zależności przestrzennej (LISA) – wybrane zagadnienia metodyczne, Instytut Geografii i Rozwoju Regionalnego Uniwersytetu Wrocławskiego, Wrocław.
Google Scholar

Kopczewska K. (2006), Ekonometria i statystyka przestrzenna z wykorzystaniem programu R CRAN, Wydawnictwa Fachowe CeDeWu, Warszawa.
Google Scholar

Miller H.J. (2004), Tobler’s First Law and Spatial Analysis, “Annals of the Association of American Geographers”, vol. 94, no. 2, pp. 284–289.
Google Scholar

Statistical Yearbook of the Republic of Poland 2015 (2015), Central Statistical Office of Poland, Warsaw.
Google Scholar

Suchecka J. (ed.) (2014), Statystyka przestrzenna. Metody analiz struktur przestrzennych, Wydawnictwo C.H. Beck, Warszawa.
Google Scholar

Suchecki B. (ed.) (2010), Ekonometria przestrzenna. Metody i modele analizy danych przestrzennych, Wydawnictwo C.H. Beck, Warszawa.
Google Scholar

The report on the situation on real estate and commercial property markets in Poland in 2014, The Polish National Bank, September 2015, https://www.nbp.pl/publikacje/rynek_nieruchomosci/raport_2014.pdf [accessed: 8.05.2016].
Google Scholar

Downloads

Published

2018-02-27

How to Cite

Dejniak, D. (2018). The Application of Spatial Analysis Methods in the Real Estate Market in South‑Eastern Poland. Acta Universitatis Lodziensis. Folia Oeconomica, 1(333), [25]–37. https://doi.org/10.18778/0208-6018.333.02

Issue

Section

Articles