Mapping the fine-scale spatial pattern of housing rent in the metropolitan area by using online rental listings and ensemble learning-Reference-Cited by-同舟云学术

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Mapping the fine-scale spatial pattern of housing rent in the metropolitan area by using online rental listings and ensemble learning

Published:2016-10 Issue: Volume:75 Page:200-212
ISSN:0143-6228
Container-title:Applied Geography
language:en
Short-container-title:Applied Geography

Author:

Chen Yimin,Liu Xiaoping,Li Xia,Liu Yilun,Xu Xiaocong

Funder

Key National Natural Science Foundation of China

National Natural Science Foundation of China

Guangdong Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,General Environmental Science,Geography, Planning and Development,Forestry

Reference52 articles.

1. If Alonso was right: Modeling accessibility and explaining the residential land gradient;Ahlfeldt;Journal of Regional Science,2011

2. Interpolation of air quality measures in hedonic house price models: Spatial aspects;Anselin;Spatial Economic Analysis,2006

3. Accidental, open and everywhere: Emerging data sources for the understanding of cities;Arribas-Bel;Applied Geography,2014

4. Smart cities of the future;Batty;The European Physical Journal Special Topics,2012

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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