Spatial Uncertainty Quantification

Spatial Uncertainty Quantification is a geostatistical framework that characterizes the uncertainty associated with spatially distributed phenomena by quantifying the probabilistic variability of attribute values at unsampled locations through ensemble-based simulation methods.

517

Publications

32.9K

Citations

2.2K

Authors

764

Institutions

Publications per year

2017–2026

165

Authors

2.2K

  1. GH
    G.B.M. Heuvelink

    Wageningen University & Research, Netherlands

    11 publications · 2.7K citations

    11

    h-index

  2. AS
    Alfred Stein

    University of Twente, Netherlands

    8 publications · 179 citations

    8

    h-index

  3. WS
    Wenzhong Shi

    Hong Kong Polytechnic University, Hong Kong SAR China

    7 publications · 133 citations

    7

    h-index

  4. JC
    Jef Caers

    Stanford University, United States

    7 publications · 557 citations

    7

    h-index

  5. WL
    Weidong Li

    University of Connecticut, United States

    6 publications · 172 citations

    6

    h-index

1–5 of 2.2K

Venues

  1. 16

    h-index

  2. Water Resources Research

    14 publications · 899 citations

    14

    h-index

  3. Ecological Modelling

    11 publications · 531 citations

    11

    h-index

  4. Computers & Geosciences

    CAGEO · 9 publications · 550 citations

    9

    h-index

  5. Transactions in GIS

    8 publications · 256 citations

    8

    h-index

1–5