A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore
10.1080/24694452.2018.1470925
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2019
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sg-nus-scholar.10635-1523612024-04-04T05:15:11Z A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore Kai Cao Mi Diao Bo Wu GEOGRAPHY REAL ESTATE 10.1080/24694452.2018.1470925 Annals of the American Association of Geographers 109 1 173-186 2019-03-18T07:41:52Z 2019-03-18T07:41:52Z 2018-10-02 Article Kai Cao, Mi Diao, Bo Wu (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. https://doi.org/10.1080/24694452.2018.1470925 24694452 http://scholarbank.nus.edu.sg/handle/10635/152361 Taylor & Francis |
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Singapore Singapore |
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10.1080/24694452.2018.1470925 |
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GEOGRAPHY |
author_facet |
GEOGRAPHY Kai Cao Mi Diao Bo Wu |
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Article |
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Kai Cao Mi Diao Bo Wu |
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Kai Cao Mi Diao Bo Wu A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore |
author_sort |
Kai Cao |
title |
A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore |
title_short |
A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore |
title_full |
A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore |
title_fullStr |
A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore |
title_full_unstemmed |
A Big-Data-based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore |
title_sort |
big-data-based geographically weighted regression model for public housing prices: a case study in singapore |
publisher |
Taylor & Francis |
publishDate |
2019 |
url |
http://scholarbank.nus.edu.sg/handle/10635/152361 |
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1800913571942498304 |