Spatial Distribution Visualization

Spatial Distribution Visualization is a methodological framework within geographic information science that enables the visual representation and analytical interpretation of the geometric arrangement of point patterns across space, distinguishing itself by explicitly encoding spatial density, proximity, and configuration to reveal underlying distributional processes.

38

Publications

1.2K

Citations

116

Authors

53

Institutions

Publications per year

2017–2026

9

Authors

116

  1. RS
    R. Steck

    University of Augsburg, Germany

    2 publications · 33 citations

    2

    h-index

  2. AP
    Alex Pang

    University of California, Santa Cruz, United States

    2 publications · 95 citations

    2

    h-index

  3. DK
    David Kao

    University of Colorado Denver, United States

    2 publications · 95 citations

    2

    h-index

  4. AL
    A. Luo

    Ames Research Center, United States

    2 publications · 95 citations

    2

    h-index

  5. AW
    Adalbert Wilhelm

    University of Augsburg, Germany

    2 publications · 33 citations

    2

    h-index

1–5 of 116

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 208 citations

    3

    h-index

  2. 2

    h-index

  3. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 26 citations

    2

    h-index

  4. 2

    h-index

  5. Smart Grid and Renewable Energy

    1 publications · 46 citations

    1

    h-index

1–5