The Dynamics of OpenStreetMap Collaborations and their Relationship to Land Use and Occupation Activities: a Study According to Curitiba Zoning
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Abstract
In developing countries, such as Brazil, the official mapping deficit is common. Knowing the quality of information on collaborative mapping platforms would minimize the lack of spatial data. Admitting the so-called Collective Spatial Intelligence as a parameter of collaborative data quality, this article aimed to verify the dependence between the dynamics of collaborations in the OpenStreetMap platform and the crowding of people. It has been assumed that agglomeration derives from the economic activities of a region and the place where people reside. Identifying the dependence, it was possible to stipulate quality variables for the collaborative data, when these are qualified according to Collective Spatial Intelligence.
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