Description: Geospatial anonymization refers to a set of techniques specifically designed to protect individuals’ privacy in the context of geospatial data. This data, which includes information about locations, trajectories, and movement patterns, can reveal sensitive details about people’s lives. Anonymization seeks to remove or modify information that could identify an individual, allowing for data analysis without compromising privacy. Geospatial anonymization techniques may include the generalization of coordinates, data perturbation, and the use of areas of interest instead of specific points. This approach is crucial in a world where the collection of geospatial data is becoming increasingly common, as it enables organizations to utilize valuable information for decision-making, research, and policy development without jeopardizing individuals’ identities. The relevance of geospatial anonymization has increased with the rise of technologies such as GPS and mobile devices, which generate large volumes of geospatial data. Therefore, implementing these techniques is essential to ensure a balance between the use of data and the protection of privacy.
