Application for measuring representative variables of collective Space Intelligence
2021-09-29, 11:30–12:00, Academic

Whether from conventional mapping or collaborative platforms such as OpenStreetMap (OSM), spatial data's rational use requires advance knowledge of its quality. To know this quality, the application of official metrics is common. In general, the use of official metrics requires that the investigated data compared with spatial reference data. In this approach, official reference data is considered more reliable. In developing countries, however, where the lack of updated data and the restrictions on access to official reference data do not allow to apply comparative methods, this kind of process is complicated. Moreover, if it is precisely the lack of official and reference data that motivates the search for Voluntary Geographic Information (VGI), the classical approach defined by the official metrics for assessing the quality of spatial data is not suitable in such cases.

Due to this, the study of intrinsic quality parameters comes to propose an alternative to the classical methods. In general, these parameters are based on the so-called Linus Law. This law aims at the development software development by opening codes to the community of collaborating programmers. According to Linus' Law, that once different individuals examine the software codes, the presence of errors becomes evident and tends to decrease. In collaborative mapping, the Law denotes that VGI quality is linked to be linked to the concept of to Collective Spatial Intelligence (CSI). Therefore, the more an area is mapped, and the more contributors make edits to that area, the greater the local collaborative mapping reliability.

Authors and Affiliations

Caio dos Anjos Paiva (1) Universidade Federal do Paraná - UPR. Raphael Gonçalves de Campos (2) Universidade Federal do Paraná - UPR. Silvana Philippi Camboim (3) Universidade Federal do Paraná - UPR






2 - Basic. General basic knowledge is required.

Language of the Presentation