Spatial Uncertainty Analysis

Spatial Uncertainty Analysis is a formal methodological framework within spatial data analytics that quantifies and models the inherent variability and imprecision in geographic phenomena, distinguishing itself through its focus on characterizing location-based data inaccuracies arising from measurement error, spatial representation, and incomplete knowledge.

359

Publications

26.5K

Citations

1.6K

Authors

539

Institutions

Publications per year

2017–2026

103

Authors

1.6K

  1. GH
    G.B.M. Heuvelink

    Wageningen University & Research, Netherlands

    8 publications · 2.9K citations

    8

    h-index

  2. WS
    Wenzhong Shi

    Hong Kong Polytechnic University, Hong Kong SAR China

    7 publications · 133 citations

    7

    h-index

  3. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    7 publications · 449 citations

    7

    h-index

  4. AC
    Adrian Chappell

    CSIRO Land and Water, Australia

    5 publications · 78 citations

    5

    h-index

  5. CZ
    Chuanrong Zhang

    University of Connecticut, United States

    5 publications · 126 citations

    5

    h-index

1–5 of 1.6K

Venues

  1. 18

    h-index

  2. Transactions in GIS

    8 publications · 333 citations

    8

    h-index

  3. Geographical Analysis

    6 publications · 133 citations

    6

    h-index

  4. Photogrammetric Engineering & Remote Sensing

    6 publications · 268 citations

    6

    h-index

  5. 5

    h-index

1–5