Spatial Data Quality Visualization

Spatial Data Quality Visualization is a methodological framework that visually represents the accuracy, completeness, consistency, and uncertainty attributes of spatial data to support informed interpretation and decision-making in geographic information sciences.

4

Publications

188

Citations

7

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

7

  1. MK
    M. Kate Beard

    Georgetown University, United States

    2 publications · 74 citations

    2

    h-index

  2. SB
    Sarah B. Clapham

    2 publications · 74 citations

    2

    h-index

  3. BP
    Barbara P. Buttenfield

    University of Colorado Boulder, United States

    2 publications · 74 citations

    2

    h-index

  4. IL
    Initiative Leader

    1 publications · 55 citations

    1

    h-index

  5. KB
    Kate Beard

    University of Maine, United States

    1 publications · 50 citations

    1

    h-index

1–5 of 7

Institutions

2

  1. University of Hawaii System

    Honolulu, United States

    1 h-index

    1 publications

    64 citations

  2. University of Maine

    Orono, United States

    1 h-index

    1 publications

    50 citations

1–2 of 2

Venues

  1. 2

    h-index

  2. eScholarship (California Digital Library)

    Repository · 1 publications · 19 citations

    1

    h-index

1–2