Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/153305
Title: A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore
Authors: Kai Cao 
Mi Diao 
Issue Date: 2-Oct-2018
Publisher: Taylor & Francis
Citation: Kai Cao, Mi Diao (2018-10-02). A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore. Annals of the American Association of Geographers 109 (1) : 173-186. ScholarBank@NUS Repository.
Source Title: Annals of the American Association of Geographers
URI: https://scholarbank.nus.edu.sg/handle/10635/153305
ISSN: 2469-4452
Appears in Collections:Staff Publications
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