Inference of positional accuracy of collaborative data from intrinsic parameters

Paiva, Caio dos Anjos; Camboim, Silvana Philippi

doi:10.1111/tgis.12913

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…The authors used Google Places of Interest data. In addition, Paiva and Camboim (2022) worked with official and collaborative data from the capital city of Minas Gerais to search for intrinsic geospatial data quality models. Finally, Elias et al (2020) explored the extrinsic quality of road axes from the OSM's VGI platform in Salvador, Bahia, compared with the authoritative municipal dataset.…”

Section: A Current Panorama Of Geospatial Big Data Integration and An...mentioning

confidence: 99%

Exploring spatio-temporal patterns of OpenStreetMap (OSM) contributions in heterogeneous urban areas

et al. 2023

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The potential of intrinsic parameters to estimate geospatial data quality on Voluntary Geographic Information (VGI) platforms is a recurrent theme in Cartography. The spatial-temporal distribution in these platforms is very heterogeneous, depending on several factors such as input availability, number, and motivation of volunteers, especially in developing countries. The most recent approaches have been aiming to detail temporal patterns as an additional measure of quality in VGI. This research proposes a methodology to identify and analyze the behavior of the contribution parameters over time (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021)(2022) of the OSM platform and differentiates the influences that affect its growth. Part of the Metropolitan region of Curitiba was the study area, subdivided into 1 x 1 km cells. The cumulative growth of contributions was calculated and later adjusted using a Logistic Regression. The obtained parameters made it possible to identify abruptly growing cells caused by external data import, mass contributions, or collective mapping activities. In addition, heterogeneity in the growth of the data available in OSM over time was evident. Furthermore, the proposed methodology promoted the investigation of a new indicator of intrinsic quality based on modelling the spatiotemporal evolution of OSM feature insertions.

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Section: A Current Panorama Of Geospatial Big Data Integration and An...mentioning

confidence: 99%

Exploring spatio-temporal patterns of OpenStreetMap (OSM) contributions in heterogeneous urban areas

et al. 2023

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“…Entretanto, o fato é que diversas regiões da superfície terrestre não dispõem de dados oficiais atualizados e de qualidade para a aplicação de métricas extrínsecas. Nestes casos, são desenvolvidos e aplicados métodos de avaliação intrínseca, nos quais a análise é efetuada com base nos próprios dados, o que cria novas alternativas para a avaliação da qualidade de dados colaborativos (Minghini & Frassinelli, 2019;Paiva & Camboim, 2022).…”

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Avaliação Da Acurácia Posicional De Dados Colaborativos Do Openstreetmap: Eixos Viários De Bairro No Município De Uberlândia (Mg)

TEIXEIRA,

SCHMIDT

2023

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RESUMO - A crescente atividade voluntária na criação e distribuição de dados geoespaciais tem atraído a atenção de agências oficiais de mapeamento em relação ao uso dos dados oriundos do mapeamento colaborativo na produção de base cartográfica de referência. Entretanto, a qualidade da informação geográfica voluntária é heterogênea, sendo necessário mensurar a qualidade de seus dados. Para esse fim, diversos estudos vem sendo desenvolvidos nas últimas décadas. O objetivo deste artigo é analisar a acurácia posicional da representação dos eixos viários no OpenStreetMap, comparando-o com o mapeamento de referência, em um dos bairros do município de Uberlândia, MG. Para a análise de precisão, foram utilizados os critérios do PEC-PCD estabelecidos pelo Decreto nº 89.817, Norma ET-ADGV e Norma ET-CQDG, aplicados em um conjunto de 353 pares de pontos homólogos nos logradouros e eixos de vias do bairro Morumbi. Os resultados mostram que a acurácia posicional dos dados colaborativos para a área de estudo obteve a classe B do PEC-PCD para a escala de 1:10.000, considerada com precisão compatível com o mapeamento para a região, porém abaixo das escalas usuais cadastrais. ABSTRACT - The growing voluntary activity in the creation and distribution of geospatial data has attracted the attention of official mapping agencies in relation to the use of data from collaborative mapping in the production of a reference cartographic base. However, the quality of voluntary geographic information is heterogeneous, and it is necessary to measure the quality of its data. To this end, several studies have been developed in recent decades. The objective of this article is to analyze the positional accuracy of the representation of road axes in OpenStreetMap, comparing it with the reference mapping, in one of the districts of the municipality of Uberlândia, MG. For the accuracy analysis, the PEC-PCD criteria established by Decree n° 89,817, ET-ADGV Standard and ET-CQDG Standard were used, applied to a set of 353 pairs of homologous points in streets and road axes in the Morumbi neighborhood. The results show that the positional accuracy of the collaborative data for the study area obtained class B of the PEC-PCD for the scale of 1:10,000, considered with precision compatible with the mapping for the region, but below the usual cadastral scales.

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Inference of positional accuracy of collaborative data from intrinsic parameters

Cited by 2 publications

References 25 publications

Exploring spatio-temporal patterns of OpenStreetMap (OSM) contributions in heterogeneous urban areas

Exploring spatio-temporal patterns of OpenStreetMap (OSM) contributions in heterogeneous urban areas

Avaliação Da Acurácia Posicional De Dados Colaborativos Do Openstreetmap: Eixos Viários De Bairro No Município De Uberlândia (Mg)

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