[
Alas, B. (2020). A multilevel analysis of housing submarkets defined by the municipal boundaries and by the street connections in the metropolitan area: Istanbul. Journal of Housing and the Built Environment, 35, 1201–1217. https://doi.org/10.1007/s10901-020-09735-7
]Search in Google Scholar
[
Antonenko, P. D., Toy, S., & Niederhauser, D. S. (2012). Using cluster analysis for data mining in educational technology research. Educational Technology Research and Development, 60(3), 383–398. https://doi.org/10.1007/s11423-012-9235-8
]Search in Google Scholar
[
Bangura, M., & Lee, C. L. (2020). House price diffusion of housing submarkets in Greater Sydney. Housing Studies, 35(6), 1110–1141. https://doi.org/10.1080/02673037.2019.1648772
]Search in Google Scholar
[
Bourassa, S. C., Cantoni, E., & Hoesli, M. (2007). Spatial dependence, housing submarkets, and house price prediction. The Journal of Real Estate Finance and Economics, 35, 143–160. https://doi.org/10.1007/s11146-007-9036-8
]Search in Google Scholar
[
Bourassa, S. C., Hoesli, M., & Peng, V. S. (2003). Do housing submarkets really matters? Journal of Housing Economics, 12(1), 12–28. https://doi.org/10.1016/S1051-1377(03)00003-2
]Search in Google Scholar
[
Cox, T., & Hurtubia, R. (2020). Subdividing the sprawl: Endogenous segmentation of housing submarkets in expansion areas of Santiago, Chile. Environment and Planning. B, Urban Analytics and City Science, 29, 355.10.1177/2399808320947728
]Search in Google Scholar
[
Ebeling, B., Vargas, C., & Hubo, S. (2013). Combined cluster analysis and principal component analysis to reduce data complexity for exhaust air purification. The Open Food Science Journal, 7(1), 8–22. https://doi.org/10.2174/1874256401307010008
]Search in Google Scholar
[
Gavu, E. K., & Owusu-Ansah, A. (2019). Empirical analysis of residential submarket conceptualisation in Ghana. International Journal of Housing Markets and Analysis, 12(4), 763–787. https://doi.org/10.1108/IJHMA-10-2018-0080
]Search in Google Scholar
[
Goodman, A. C., & Thibodeau, T. G. (2007). The spatial proximity of metropolitan area housing submarkets. Real Estate Economics, 35(2), 209–232. https://doi.org/10.1111/j.1540-6229.2007.00188.x
]Search in Google Scholar
[
Helbich, M., Brunauer, W., Hagenauer, J., & Leitner, M. (2013). Data-driven regionalization of housing markets. Annals of the Association of American Geographers, 103(4), 871–889. https://doi.org/10.1080/00045608.2012.707587
]Search in Google Scholar
[
Hwang, S. (2015). Residential segregation, housing submarkets and spatial analysis: St. Louis and Cincinnati as a case study. Housing Policy Debate, 25(1), 91–115. https://doi.org/10.1080/10511482.2014.934703
]Search in Google Scholar
[
Hwang, S., & Thill, J. (2009). Delineating urban housing submarkets with fuzzy clustering. Environment and Planning. B, Planning & Design, 36(5), 865–882. https://doi.org/10.1068/b34111t
]Search in Google Scholar
[
Keskin, B., & Watkins, C. (2017). Defining spatial housing submarkets: Exploring the case for expert delineated boundaries. Urban Studies (Edinburgh, Scotland), 54(6), 1446–1462. https://doi.org/10.1177/0042098015620351
]Search in Google Scholar
[
Kopczewska, K., Cwiakowski P. 2021. Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants. Land Use Policy, vol. 103(2), pp. 1-18.10.1016/j.landusepol.2021.105292
]Search in Google Scholar
[
Leishman, C., Costello, G., Rowley, S., & Watkins, C. (2013). The predictive performance of multilevel models of housing sub-markets: A comparative analysis. Urban Studies (Edinburgh, Scotland), 50(6), 1201–1220. https://doi.org/10.1177/0042098012466603
]Search in Google Scholar
[
Ligus, M., Peternek, P. 2017. Impacts of urban environmental attributes on residential housing prices in Warsaw (Poland): Spatial hedonic analysis of city districts. Procedia - Social and Behavioral Sciences I, 220(251), 155-164.10.1007/978-3-319-54885-2_15
]Search in Google Scholar
[
Lu, W. Z., He, H. D., & Dong, L. (2011). Performance assessment of air quality monitoring networks using principal component analysis and cluster analysis. Building and Environment, 46(3), 577–583. https://doi.org/10.1016/j.buildenv.2010.09.004
]Search in Google Scholar
[
Saenz, V. B., Hatch, D., Bukoski, B. E., Kim, S., Lee, K., & Valdez, P. (2011). Community college student engagement patterns. Community College Review, 39(3), 235–267. https://doi.org/10.1177/0091552111416643
]Search in Google Scholar
[
Song, Y., & Quercia, R. G. (2008). How are neighbourhood design features valued across different neighbourhood types? Journal of Housing and the Built Environment, 23(4), 297–316. https://doi.org/10.1007/s10901-008-9122-0
]Search in Google Scholar
[
Watkins, C. A. (2001). The definition and identification of housing submarkets. Environment & Planning A, 33(12), 2235–2253. https://doi.org/10.1068/a34162
]Search in Google Scholar
[
Wu, C., & Sharma, R. (2012). Housing submarket classification: The role of spatial contiguity. Applied Geography (Sevenoaks, England), 32(2), 746–756. https://doi.org/10.1016/j.apgeog.2011.08.011
]Search in Google Scholar
[
Wu, Y., Wei, Y. D., & Li, H. (2020). Analyzing spatial heterogeneity of housing prices using large datasets. Applied Spatial Analysis and Policy, 13(1), 223–256. https://doi.org/10.1007/s12061-019-09301-x
]Search in Google Scholar
[
Xiao, Y., Webster, C., & Orford, S. (2016). Can street segments indexed for accessibility form the basis for housing submarket delineation? Housing Studies, 31(7), 829–851. https://doi.org/10.1080/02673037.2016.1150433
]Search in Google Scholar
[
Yim, O., & Ramdeen, K. T. (2015). Hierarchical cluster analysis: Comparison of three linkage measures and application to psychological data. The Quantitative Methods for Psychology, 11(1), 8–21. https://doi.org/10.20982/tqmp.11.1.p008
]Search in Google Scholar
[
Yu, D., Wei, Y. D., & Wu, C. (2007). Modeling spatial dimensions of housing prices in Milwaukee, WI. Environment and Planning. B, Planning & Design, 34(6), 1085–1102. https://doi.org/10.1068/b32119
]Search in Google Scholar
