Spatial Generalization

Spatial Generalization is a location privacy-preserving technique that belongs to the class of spatial obfuscation methods, distinguished by its systematic reduction of geographic precision through the aggregation of specific locations into broader, less precise regions to minimize re-identification risks while maintaining data utility.

77

Publications

4.1K

Citations

227

Authors

129

Institutions

Publications per year

2017–2026

15

Authors

227

  1. JS
    Jantien Stoter

    Delft University of Technology, Netherlands

    3 publications · 134 citations

    3

    h-index

  2. SM
    Sergio Mascetti

    University of Milan, Italy

    3 publications · 113 citations

    3

    h-index

  3. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    3 publications · 606 citations

    3

    h-index

  4. CB
    Cláudio Bettini

    University of Milan, Italy

    3 publications · 113 citations

    3

    h-index

  5. KC
    Ken Cheng

    Macquarie University, Australia

    3 publications · 115 citations

    3

    h-index

1–5 of 227

Venues

  1. 3

    h-index

  2. The Cartographic Journal

    3 publications · 124 citations

    3

    h-index

  3. Journal of Neuroscience

    3 publications · 477 citations

    3

    h-index

  4. 2

    h-index

  5. Cartography and Geographic Information Science

    2 publications · 103 citations

    2

    h-index

1–5