2021
DOI: 10.14393/rbcv73n1-51017
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A Dinâmica de Colaborações OpenStreetMap e sua Relação com as Atividades de Uso e Ocupação do Solo: um Estudo Segundo Zoneamento de Curitiba

Abstract: Em regiões com défict ou restrição de acesso a dados espaciais oficiais, conhecer a qualidade dos dados colaborativos permite minimizar a falta de informação espacial. Admitindo como parâmetro de qualidade dos dados colaborativos a chamada Inteligência Espacial Coletiva, o presente artigo verifica a dependência entre a dinâmica das colaborações na plataforma OpenStreetMap e a aglomeração de pessoas. Para tal assumiu duas vertentes como influenciadoras dessa aglomeração: à derivada das atividades econômicas e a… Show more

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“…The advantage is to portray specific scenarios with comprehensiveness and dynamism, as in the case of RAIS, created to manage labor data, and which can be important information about companies, providing addresses of Points of Interest that can be geocoded and integrated with existing databases. For instance, Paiva and Camboim (2021) compared data on economic activity permits available at the Open Data Portal of Curitiba City Hall with the data quality parameters from OpenStreetMap.…”
Section: A Current Panorama Of Geospatial Big Data Integration and An...mentioning
confidence: 99%
See 1 more Smart Citation
“…The advantage is to portray specific scenarios with comprehensiveness and dynamism, as in the case of RAIS, created to manage labor data, and which can be important information about companies, providing addresses of Points of Interest that can be geocoded and integrated with existing databases. For instance, Paiva and Camboim (2021) compared data on economic activity permits available at the Open Data Portal of Curitiba City Hall with the data quality parameters from OpenStreetMap.…”
Section: A Current Panorama Of Geospatial Big Data Integration and An...mentioning
confidence: 99%
“…In the early days of intrinsic parameter research, the only temporal variable was the date of the last data edition. However, Paiva and Camboim (2021) demonstrated that this approach alone would not explain the entire behaviour of quality in VGI. Such aspect converges with research recently conducted aimed at detailing temporal patterns and thereby improving the understanding of the spatial distribution of its quality (Le Guilcher, Olteanu-Raimond and Balde, 2022;Grinberger et al, 2021;Brückner et al, 2021;Witt, Loos and Zipf 2021;Arsanjani et al 2015;Gröching, Brunauer and Rehr 2014).…”
Section: Introductionmentioning
confidence: 99%