A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics-Reference-Cited by-同舟云学术

A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics

Published:2020-06-19 Issue:1 Volume:35 Page:43-62
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

de Andrade Sidgley Camargo¹^ORCID,Restrepo-Estrada Camilo²^ORCID,Nunes Luiz Henrique³^ORCID,Rodriguez Carlos Augusto Morales⁴^ORCID,Estrella Júlio Cézar⁵^ORCID,Delbem Alexandre Cláudio Botazzo⁵^ORCID,Porto de Albuquerque João⁶⁷^ORCID

Affiliation:

1. Federal University of Technology - Paraná, Toledo, Brazil

2. Faculty of Economic Sciences, University of Antioquia, Medellín, Colombia

3. Federal Institute of São Paulo, Araraquara, Brazil

4. Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil

5. Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil

6. Institute for Global Sustainable Development, University of Warwick, Coventry, UK

7. The Alan Turing Institute, London, UK

Funder

Alan Turing Institute

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Engineering and Physical Sciences Research Council

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1755039

Reference52 articles.

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4. Scale issues in hydrological modelling: A review

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