Mapping fine-scale urban housing prices by fusing remotely sensed imagery and social media data
Author:
Affiliation:
1. School of Information Engineering, China University of Geosciences, Wuhan, China
2. School of Geography and Planning, Sun Yat-sen University; Guangzhou China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province
Publisher
Wiley
Subject
General Earth and Planetary Sciences
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/tgis.12330/fullpdf
Reference62 articles.
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5. Incorporating spatial variation in housing attribute prices: A comparison of geographically weighted regression and the spatial expansion method;Bitter;Journal of Geographical Systems,2007
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