Authoritative Cartography in Brazil and Collaborative Mapping Platforms: Challenges and Proposals for Data Integration

Abstract

Brazil has a large area with missing or outdated mapping on the largest scales of its authoritative mapping. The use of data from collaborative mapping platforms appears as an alternative that may contribute to minimizing this problem, either by updating or completing the mapping coverage in Brazil, as proposed or performed by some National Mapping Agencies abroad. The present work aims to analyze a methodology to provide accurate and documented integration of volunteered geographic information and the Brazilian authoritative mapping. The proposal starts with the semantic compatibility between the conceptual models adopted in both official cartography and OpenStreetMap platform. The research continues with the identification of object classes with the most significant potential for integration. Finally, we developed some experiments to evaluate and validate the OSM data integration process in a 1:25,000 scale cartographic database. Even in regions with a recent mapping, the results of the preliminary assessment indicate the potential for an increase of about 52% and 16% of features in the ‘road system’ category, which suggests a very promising method for use in areas with missing or outdated mapping, and its applicability to other categories.

Towards the Integration of Authoritative and Openstreetmap Geospatial Datasets in Support of the European Strategy for Data

“…Differently from many other authors, who focused their attention on geometrical accuracy and completeness, they focused on semantic information, conflating road names and reference codes with the main result to enrich the OSM dataset with authoritative information. The potential contribution of OSM data to the increase of mapped features of the authoritative road network in Brazil was the goal of Silva et al (2021): their analysis confirmed that OSM is a promising source of information in areas with missing or outdated map data. Zhou et al (2015) presented instead an extensive method used to dynamically integrate OSM data from the neighbouring states Vietnam and Pakistan into a common data model.…”

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

“…Pesquisas como Jasim & Al-Hamadani (2020) e Cruz & Santos (2016) buscam avaliar a qualidade posicional dos dados. Já outros artigos focam somente na análise da qualidade semântica de seus produtos (Machado & Camboim, 2019;Muttaqien et al, 2018;Silva & Camboim, 2021). Há também diversos trabalhos em que tanto a qualidade posicional quanto a semântica são explorados.…”