Spatial Bias Correction

Spatial Bias Correction is a methodological framework within environmental and geospatial modeling that specifically addresses systematic discrepancies in predictive models arising from non-uniform spatial sampling or environmental monitoring, by adjusting model inputs, outputs, or parameters to ensure representativeness across geographic space.

279

Publications

31.2K

Citations

1.1K

Authors

597

Institutions

Publications per year

2017–2026

116

Authors

1.1K

  1. AS
    Ashish Sharma

    UNSW Sydney, Australia

    6 publications · 196 citations

    6

    h-index

  2. EP
    Edwin P. Maurer

    Santa Clara University, United States

    3 publications · 695 citations

    3

    h-index

  3. GZ
    Guiming Zhang

    University of Wisconsin–Madison, United States

    3 publications · 91 citations

    3

    h-index

  4. DA
    Daniel A. Griffith

    The University of Texas at Dallas, United States

    3 publications · 152 citations

    3

    h-index

  5. AZ
    A‐Xing Zhu

    University of Wisconsin–Madison, United States

    3 publications · 91 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Hydrology and earth system sciences

    9 publications · 901 citations

    9

    h-index

  2. Diversity and Distributions

    8 publications · 2K citations

    8

    h-index

  3. Remote Sensing

    7 publications · 184 citations

    7

    h-index

  4. International Journal of Climatology

    6 publications · 322 citations

    6

    h-index

  5. PLoS ONE

    6 publications · 1.4K citations

    6

    h-index

1–5