OpenStreetMap: spatio-temporal analysis of contributions and deletions

Versão em português

Overview¶

This project brings together a research line focused on understanding editing dynamics in OpenStreetMap, with emphasis on spatio-temporal patterns, deletions, collaborative-base maturation and analytical visualization.

Why it matters¶

A critical reading of OpenStreetMap’s evolution is essential for discussing reliability, transparency, data quality and territorial behaviour in one of the world’s largest collaborative geodata projects.

Goals¶

• analyse OSM contributions and deletions;

• model temporal series of editing behaviour;

• compare patterns across grid cells and urban areas;

• support transparency and critical reading of collaborative data;

• produce dashboards and open-science outputs.

Associated output¶

• Temporal Dynamics of OpenStreetMap Contributions and Deletions in Curitiba

• Development of a dashboard for spatio-temporal analysis of OpenStreetMap edits in Brazil

• An AI-Based Approach To Identify Spatio-Temporal Contribution Patterns And Their Impact On OpenStreetMap Data Quality

• Transparency and Trust in Collaborative Mapping