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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Bibliographic Details
Main Authors: Kai Cao, Mi Diao, Bo Wu
Other Authors: GEOGRAPHY
Format: Article
Published: Taylor & Francis 2019
Online Access:http://scholarbank.nus.edu.sg/handle/10635/152361
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Institution: National University of Singapore
id sg-nus-scholar.10635-152361
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spelling 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
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1080/24694452.2018.1470925
author2 GEOGRAPHY
author_facet GEOGRAPHY
Kai Cao
Mi Diao
Bo Wu
format Article
author Kai Cao
Mi Diao
Bo Wu
spellingShingle 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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