Spatial Uncertainty Representation

Spatial Uncertainty Representation is a formal framework within spatial knowledge representation that models the imprecision, incompleteness, or ambiguity inherent in spatial data and relationships, distinguishing itself by explicitly characterizing the reliability, confidence, or probabilistic bounds of spatial information.

241

Publications

16.5K

Citations

617

Authors

320

Institutions

Publications per year

2017–2026

50

Authors

617

  1. AS
    Alfred Stein

    University of Twente, Netherlands

    5 publications · 185 citations

    5

    h-index

  2. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    5 publications · 501 citations

    5

    h-index

  3. WS
    Wenzhong Shi

    Hong Kong Polytechnic University, Hong Kong SAR China

    5 publications · 78 citations

    5

    h-index

  4. FE
    Frederick E. Petry

    Tulane University, United States

    5 publications · 97 citations

    5

    h-index

  5. CZ
    Chuanrong Zhang

    University of Connecticut, United States

    4 publications · 90 citations

    4

    h-index

1–5 of 617

Venues

  1. 15

    h-index

  2. Transactions in GIS

    8 publications · 425 citations

    8

    h-index

  3. 4

    h-index

  4. Journal of Vision

    4 publications · 130 citations

    4

    h-index

  5. Vision Research

    4 publications · 263 citations

    4

    h-index

1–5