Uncertainty In Spatial Databases

Uncertainty in Spatial Databases is a theoretical construct in spatial data management that characterizes the incompleteness, imprecision, or ambiguity inherent in the representation, measurement, and interpretation of spatial entities and their relationships within database systems.

67

Publications

2.7K

Citations

149

Authors

84

Institutions

Publications per year

2017–2026

10

Authors

149

  1. GT
    Goce Trajcevski

    Iowa State University, United States

    5 publications · 126 citations

    5

    h-index

  2. GJ
    Gary J. Hunter

    The University of Melbourne, Australia

    4 publications · 274 citations

    4

    h-index

  3. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    4 publications · 317 citations

    4

    h-index

  4. AZ
    Andreas Züfle

    George Mason University, United States

    4 publications · 93 citations

    4

    h-index

  5. TE
    Tobias Emrich

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 78 citations

    3

    h-index

1–5 of 149

Venues

  1. 7

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 211 citations

    5

    h-index

  3. Transactions in GIS

    4 publications · 184 citations

    4

    h-index

  4. Data & Knowledge Engineering

    DKE · 2 publications · 73 citations

    2

    h-index

  5. International Journal of Intelligent Systems

    2 publications · 67 citations

    2

    h-index

1–5