Social Media Geographic Information Visual Analytics
INPUT 2016 – Torino (e-agorà|e-aγορά for the transition toward resilient communities) – Ano 2016
Autores desta publicação
- BORGES, Júnia – Júnia Lúcio de Castro Borges - Ex-Bolsista de Doutorado
- MOURA, Ana Clara M. – Prof. Ana Clara Mourão Moura - COORDENADORA
- Paula, Priscila Lisboa – Priscila Lisboa de Paula - Ex-Bolsista Iniciação Científica
- CASAGRANDE, Pedro – Prof. Pedro Benedito Casagrande - Prof. Escola de Minas UFMG
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Resumo da publicação
The use of Social Media Geographic Information in a planning process would improve our knowledge on urban and landscape development and support decision-making. This paper makes use of an environmental disaster that has happened recently in one of the most important social economic areas in Brazil to understand how this type of information could be used as a systematized planning input. Researchers seek to understand if it is possible to establish a connection between SMGI posts and the level of affection to shared content. In order to do that, we tested a passive SMGI analysis. Our best results so far relied on a proposal for image analysis from Instagram posts. It presents the case study of Mariana disaster, Rio Doce, Minas Gerais, Brazil.
Abstract (english text)
The use of Social Media Geographic Information in a planning process would improve our knowledge on urban and landscape development and support decision-making. This paper makes use of an environmental disaster that has happened recently in one of the most important social economic areas in Brazil to understand how this type of information could be used as a systematized planning input. Researchers seek to understand if it is possible to establish a connection between SMGI posts and the level of affection to shared content. In order to do that, we tested a passive SMGI analysis. Our best results so far relied on a proposal for image analysis from Instagram posts. It presents the case study of Mariana disaster, Rio Doce, Minas Gerais, Brazil.