Uncertainty In Geospatial Visualization

Uncertainty in Geospatial Visualization is a scholarly framework that characterizes the representation, communication, and interpretation of imprecise, incomplete, or probabilistic spatial data within visual analytics systems to support informed decision-making in geospatial contexts.

33

Publications

1.7K

Citations

92

Authors

54

Institutions

Publications per year

2017–2026

12

Authors

92

  1. CK
    Christoph Kinkeldey

    HafenCity University Hamburg, Germany

    3 publications · 122 citations

    3

    h-index

  2. PK
    Petr Kubíček

    Masaryk University, Czechia

    2 publications · 42 citations

    2

    h-index

  3. AM
    Alan M. MacEachren

    Pennsylvania State University, United States

    2 publications · 631 citations

    2

    h-index

  4. JS
    Jochen Schiewe

    HafenCity University Hamburg, Germany

    2 publications · 111 citations

    2

    h-index

  5. JW
    Jo Wood

    City, University of London, United Kingdom

    2 publications · 85 citations

    2

    h-index

1–5 of 92

Venues

  1. 4

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 146 citations

    4

    h-index

  3. Cartography and Geographic Information Science

    4 publications · 684 citations

    4

    h-index

  4. Computers & Geosciences

    CAGEO · 2 publications · 119 citations

    2

    h-index

  5. 2

    h-index

1–5