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Assessing the horizontal positional accuracy in OpenStreetMap: a Big Data approach
OpenStreetMap is perhaps the most successful project from those that produce Volunteered Geographic Information. Its characteristics are the same as the Big Data, which challenges its study. The present paper assesses the horizontal positional accuracy of OSM streets in administrative zones of the Metropolitan District of Quito, with the purpose of understanding what methods allow us to know the quality of these data. Open GIS and statistical programming software were used in combination, and then using the second one as a standalone. Considerations introduced in order to correct two inconveniences of the method are presented. The paper concludes discussing hypotheses regarding positional accuracy and identifying ways to continue the research in this area.