[
Adamczewski, Z. (2006). Elementy modelowania matematycznego w wycenie nieruchomości. Podejście porównawcze. Oficyna Wydawnicza Politechniki Warszawskiej.
]Search in Google Scholar
[
Anselin, L. (1998). GIS Research Infrastructure for Spatial Analysis of Real Estate Markets. Journal of Housing Research, 9(1), 113–133. https://doi.org/10.1080/10835547.1998.1209193010.1080/10835547.1998.12091930
]Search in Google Scholar
[
Anselin, L. (2009). Spatial Regression, w: Fotheringham A. S., Rogerson P.A. (red.), The SAGE Handbook of Spatial Analysis, SAGE Publications. https://doi.org/10.4135/9780857020130.n1410.4135/9780857020130.n14
]Search in Google Scholar
[
Arbia, G. (2006). Spatial Econometrics: Statistical Foundations and Applications to Regional Convergence. Springer-Verlag.
]Search in Google Scholar
[
Barańska, A. (2005). Estymacja parametrów nieliniowych modeli funkcyjnych dla potrzeb predykcji rynkowej wartości nieruchomości. UWND AGH.
]Search in Google Scholar
[
Barańska, A. (2010). Statystyczne metody analizy i weryfikacji proponowanych algorytmów wyceny nieruchomości. Rozprawy i Monografie, Wydawnictwa AGH.
]Search in Google Scholar
[
Basu, S., Thibodeau, T. (1998). Analysis of spatial autocorrelation in house prices. Journal of Real Estate Finance and Economics, 17 (1), 61-85.10.1023/A:1007703229507
]Search in Google Scholar
[
Benjamin, J. D., Randall, S., Guttery, R. S., & Sirmans, C. F. (2004). Mass Appraisal: An Introduction to Multiple Regression Analysis for Real Estate Valuation. Journal of Real Estate Practice and Education, 7(1), 65–77. https://doi.org/10.1080/10835547.2004.1209160210.1080/10835547.2004.12091602
]Search in Google Scholar
[
Bitner, A. (2007). Konstrukcja modelu regresji wielorakiej przy wycenie nieruchomości. Acta Scientiarum Polonorum. Administratio Locorum, 6(4), 59–66.
]Search in Google Scholar
[
Bourassa, S. C., Cantoni, E., & Hoesli, M. (2010). Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods. Journal of Real Estate Research, 32, 139–160.10.1080/10835547.2010.12091276
]Search in Google Scholar
[
Bowen, W. M., Mikelbank, B. A., & Prestegaard, D. M. (2001). Theoretical and Empirical Considerations Regarding Space in Hedonic Housing Price Model Applications. Growth and Change, 32(4), 466–490. https://doi.org/10.1111/0017-4815.0017110.1111/0017-4815.00171
]Search in Google Scholar
[
Can, A., & Megbolugbe, I. (1997). Spatial dependence and house price index construction. The Journal of Real Estate Finance and Economics, 14, 203–222. https://doi.org/10.1023/A:100774470672010.1023/A:1007744706720
]Search in Google Scholar
[
Cellmer, R. (2014). Modelowanie przestrzenna w procesie opracowywania map wartości gruntów [Modelowanie przestrzenna w procesie opracowywania map wartości gruntów]. Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego.
]Search in Google Scholar
[
Charlton, M., & Fotheringham, S. (2009). Geographically weighted regression. National Centre for Geocomputation.10.4135/9780857020130.n13
]Search in Google Scholar
[
Czaja, J. (2001). Metody szacowania wartości rynkowej i katastralnej [Methods of estimating market and cadastral values]. Komp-System.
]Search in Google Scholar
[
Czaja, J., Dąbrowski, J. (2008). Special algorithms for assessing market value of real estates. Geomatics and Environmental Engineering, 2(2).
]Search in Google Scholar
[
Dąbrowski, J. (2011). Zastosowanie w modelach regresji wielorakiej wartości czynnikowych do analizy rynku nieruchomości. Studia i Materiały Towarzystwa Naukowego Nieruchomości, 19(3), 162–169.
]Search in Google Scholar
[
Goodchild, M. F., & Haining, R. P. (2003). GIS and spatial data analysis: Converting perspectives. Papers in Regional Science, 83, 363–385. https://doi.org/10.1007/s10110-003-0190-y10.1007/s10110-003-0190-y
]Search in Google Scholar
[
Hozer, J. (2001). Regresja wieloraka a wycena nieruchomości [Multiple regression and property valuation]. Rzeczoznawca Majątkowy, 2, 13–14.
]Search in Google Scholar
[
Isakson, H. R. (1998). The Review of Real Estate Appraisals Using Multiple Regression Analysis. Journal of Real Estate Research, 15(2), 177–190. https://doi.org/10.1080/10835547.1998.1209092210.1080/10835547.1998.12090922
]Search in Google Scholar
[
James V., Wu, S., Gelfand, A., & Sirmans, C. F. (2005). Apartment Rent Prediction Using Spatial Modeling. Journal of Real Estate Research, 27(1), 105–136. https://doi.org/10.1080/10835547.2005.1209114810.1080/10835547.2005.12091148
]Search in Google Scholar
[
Kisiała, W. (2016). Modele regresji przestrzennej w badaniach czynników korzystania ze świadczeń ratownictwa medycznego [Spatial regression models in the study of emergency medical services utilization factors]. Bogucki Wydawnictwo Naukowe.
]Search in Google Scholar
[
Kobylińska, K., Cellmer, R., Źróbek, S., & Lepkova, N. (2017). Using kernel density estimation for modelling and simulating transaction location. International Journal of Strategic Property Management, 21(1), 29–40. https://doi.org/10.3846/1648715X.2016.125083710.3846/1648715X.2016.1250837
]Search in Google Scholar
[
Kopczewska, K. (2006). Ekonometria i statystyka przestrzenna z wykorzystaniem programu R CRAN. CeDeWu, Warszawa.
]Search in Google Scholar
[
Ligas, M. (2006). Przestrzenne modele autoregresji w zastosowaniu do wyceny nieruchomości. Studia i Materiały Towarzystwa Naukowego Nieruchomości, 14(1), 123–136.
]Search in Google Scholar
[
Lis, C. (2005). Ekonometryczne modele cen transakcyjnych lokali mieszkalnych. Zeszyty Naukowe Uniwersytetu Szczecińskiego Nr 415. Prace Katedry Ekonometrii i Statystyki, 16, 161–174.
]Search in Google Scholar
[
Longley, P., Goodchild, M., Maguire, D., & Rhind, D. (2005). Geographic Information Systems and Science. John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester.
]Search in Google Scholar
[
Mark, J., & Goldberg, M. A. (1988). Multiple regression analysis and mass assessment. A review of the issues. The Appraisal Journal, 56, 89–109.
]Search in Google Scholar
[
Osland, L. (2010). An Application of Spatial Econometrics in Relation to Hedonic House Price Modelling. Journal of Real Estate Research, 32(3), 289–320. https://doi.org/10.1080/10835547.2010.1209128210.1080/10835547.2010.12091282
]Search in Google Scholar
[
Sawiłow, E. (2010). Problematyka określania wartości nieruchomości metodą analizy statystycznej rynku [Problems of determining the value of real estate using the method of statistical market analysis]. Studia i Materiały Towarzystwa Naukowego Nieruchomości, 8(1), 21–32.
]Search in Google Scholar
[
Sirmans, G. S., Macpherson, D. A., & Zietz, E. N. (2005). The Composition of Hedonic Pricing Models. Journal of Real Estate Literature, 13(1), 1–46. https://doi.org/10.1080/10835547.2005.1209015410.1080/10835547.2005.12090154
]Search in Google Scholar
[
Suchecka, J. (ed.). (2014). Statystyka przestrzenna. Metody analizy struktur przestrzennych. Wydawnictwo C. H. Beck, Warszawa.
]Search in Google Scholar
[
Suchecki, B. (ed.). (2010). Ekonometria przestrzenna. Metody i modele analizy danych przestrzennych. C.H. Beck, Warszawa.
]Search in Google Scholar
[
Tu, Y., Sun, H., & Yu, S. (2007). Spatial autocorrelations and Urban housing market segmentation. The Journal of Real Estate Finance and Economics, 34, 385–406. https://doi.org/10.1007/s11146-007-9015-010.1007/s11146-007-9015-0
]Search in Google Scholar
[
Wall, M. M. (2004). A close look at the spatial structure implied by the CAR and SAR models. Journal of Statistical Planning and Inference, 121, 311–324. https://doi.org/10.1016/S0378-3758(03)00111-310.1016/S0378-3758(03)00111-3
]Search in Google Scholar
[
Wang, K. (ed.), & Wolverton, M. L. (ed.). (2002). Real Estate Valuation Theory. Springer. https://doi.org/10.1007/978-1-4615-0909-710.1007/978-1-4615-0909-7
]Search in Google Scholar
[
Wilhelmsson, M. (2002). Spatial Model in Real Estate Economics. Housing Theory and Society, 19, 92–101. https://doi.org/10.1080/14036090276038564610.1080/140360902760385646
]Search in Google Scholar
[
Won Kim, C. W., Phipps, T. T., & Anselin, L. (2003). Measuring the benefits of air quality improvement: A spatial hedonic approach. Journal of Environmental Economics and Management, 45, 24–39. https://doi.org/10.1016/S0095-0696(02)00013-X10.1016/S0095-0696(02)00013-X
]Search in Google Scholar