Spatial Autocorrelation Visualization

Spatial Autocorrelation Visualization is a graphical method that represents the degree to which geospatial data values are correlated with one another based on their relative locations, enabling the visual interpretation of spatial clustering patterns and outliers in choropleth maps.

10

Publications

319

Citations

28

Authors

21

Institutions

Publications per year

2017–2026

4

Authors

28

  1. FO
    Felipe Osorio

    University of Valparaíso, Chile

    2 publications · 30 citations

    2

    h-index

  2. RV
    Ronny Vallejos

    Federico Santa María Technical University, Chile

    2 publications · 30 citations

    2

    h-index

  3. DM
    Diego Mancilla

    Federico Santa María Technical University, Chile

    1 publications · 12 citations

    1

    h-index

  4. DB
    Dario Bertocchi

    Ca' Foscari University of Venice, Italy

    1 publications · 41 citations

    1

    h-index

  5. WC
    Wei Chen

    Zhejiang University, China

    1 publications · 23 citations

    1

    h-index

1–5 of 28

Venues

  1. Health & Place

    1 publications · 72 citations

    1

    h-index

  2. Papers of the Regional Science Association

    1 publications · 26 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 18 citations

    1

    h-index

  4. Statistica Neerlandica

    1 publications · 12 citations

    1

    h-index

  5. Journal of Geovisualization and Spatial Analysis

    JGSA · 1 publications · 15 citations

    1

    h-index

1–5