Uncertainty Visualization In Maps

Uncertainty Visualization in Maps is a cartographic visualization method that specifically represents the inherent uncertainty in spatial multivariate data through visual variables such as transparency, texture, or probabilistic glyphs to distinguish uncertain from certain spatial information.

18

Publications

834

Citations

63

Authors

37

Institutions

Publications per year

2017–2026

9

Authors

63

  1. PK
    Petr Kubíček

    Masaryk University, Czechia

    2 publications · 47 citations

    2

    h-index

  2. SI
    Sara Irina Fabrikant

    University of Zurich, Switzerland

    2 publications · 53 citations

    2

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  3. ČŠ
    Čeněk Šašinka

    Masaryk University, Czechia

    2 publications · 47 citations

    2

    h-index

  4. MH
    Mary Hegarty

    University of California, Santa Barbara, United States

    1 publications · 11 citations

    1

    h-index

  5. RW
    Ruojing Wang Scholz

    Texas State University, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 63

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 291 citations

    2

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  2. 2

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  3. 2

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  4. Stat

    1 publications · 24 citations

    1

    h-index

  5. Computers Environment and Urban Systems

    1 publications · 10 citations

    1

    h-index

1–5