Interpolation Uncertainty

Interpolation Uncertainty is the quantification of error or variability arising from the estimation of unknown values at unsampled locations during spatial interpolation, distinguishing it from other sources of geospatial uncertainty by specifically characterizing the reliability of predicted values based on spatial dependence and sampling configuration.

80

Publications

30K

Citations

255

Authors

142

Institutions

Publications per year

2017–2026

28

Authors

255

  1. WC
    Wei Chen

    Northwestern University, United States

    4 publications · 300 citations

    4

    h-index

  2. DW
    Daniel W. Apley

    Northwestern University, United States

    3 publications · 201 citations

    3

    h-index

  3. PD
    P. D. Jones

    University of East Anglia, United Kingdom

    3 publications · 4.8K citations

    3

    h-index

  4. HO
    Henning Omre

    Norwegian University of Science and Technology, Norway

    2 publications · 56 citations

    2

    h-index

  5. MJ
    Matthew J. Menne

    NOAA National Centers for Environmental Information, United States

    2 publications · 1.2K citations

    2

    h-index

1–5 of 255

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 3.1K citations

    4

    h-index

  2. Journal of Mechanical Design

    4 publications · 314 citations

    4

    h-index

  3. International Journal of Climatology

    2 publications · 20.1K citations

    2

    h-index

  4. Hydrology and earth system sciences

    2 publications · 45 citations

    2

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 2.9K citations

    2

    h-index

1–5