The Application of Spatial Analysis Methods in the Real Estate Market in South‑Eastern Poland
DOI:
https://doi.org/10.18778/0208-6018.333.02Keywords:
spatial econometrics, spatial autocorrelation, weight matrix, global correlation coefficientAbstract
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
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