Li, Y., Zhao, Q. and Zhong, C. (2022) GIS and urban data science. Annals of GIS, 28(2), pp. 89-92. (doi: 10.1080/19475683.2022.2070969)
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Abstract
With the emergence of new forms of geospatial/urban big data and advanced spatial analytics and machine learning methods, new patterns and phenomena can be explored and discovered in our cities and societies. In this special issue, we presented an overview of nine studies to understand how to use urban data science and GIS in healthcare services, hospitality and safety, transportation and mobility, economy, urban planning, higher education, and natural disasters, spreading across developed countries in North America and Europe, as well as Global South areas in Asia and the Middle East. The embrace of diverse geo-computational methods in this special issue brings forward an outlook to future GIS and Urban Data Science towards more advanced computational capability, global vision and urban-focused research.
Item Type: | Articles |
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Additional Information: | Dr Qunshan Zhao has received UK ESRC’s ongoing support for the Urban Big Data Centre (UBDC) (ES/L011921/1 and ES/S007105/1). Dr Chen Zhong has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 949670), and from ESRC under JPI Urban Europe/NSFC (grant No. ES/T000287/1). |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Zhao, Dr Qunshan |
Authors: | Li, Y., Zhao, Q., and Zhong, C. |
College/School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
Journal Name: | Annals of GIS |
Publisher: | Taylor and Francis |
ISSN: | 1947-5683 |
ISSN (Online): | 1947-5691 |
Published Online: | 07 May 2022 |
Copyright Holders: | Copyright © 2022 The Author(s) |
First Published: | First published in Annals of GIS 28(2): 89-92 |
Publisher Policy: | Reproduced under a Creative Commons Licence |
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