Mapping heterogeneity: Spatially explicit machine learning approaches for urban value uplift characterisation and prediction

Author:

Zhang XiuningORCID,Zhu Yumo,Gan Wei,Zou YixuanORCID,Wu Zhiqiang

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference70 articles.

1. The historic and the structural theories of urban form: Their implications for urban renewal;Alonso;Land Economics,1964

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3. House price appreciation, transactions and structural change in the British Housing Market: A macroeconomic perspective;Andrew;Real Estate Economics,2003

4. Measuring the importance of location in house price appreciation;Archer;Journal of Urban Economics,1996

5. Australian Bureau of Statistics. (2008, March 26). Appendix—List of SEIFA Variables (Appendix). c=AU; o=Commonwealth of Australia; ou=Australian Bureau of Statistics. https://www.abs.gov.au/Ausstats/abs@.nsf/7d12b0f6763c78caca257061001cc588/ab37122512b569b2ca25741700115ea2!OpenDocument.

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