Biased Sampling Correction

Biased Sampling Correction is a methodological framework within species distribution monitoring that adjusts observational data to account for systematic deviations from random sampling, thereby enabling more accurate inference of species occurrence patterns.

97

Publications

13.9K

Citations

380

Authors

221

Institutions

Publications per year

2017–2026

33

Authors

380

  1. MM
    Mindy M. Syfert

    Natural History Museum, United Kingdom

    2 publications · 735 citations

    2

    h-index

  2. DA
    David A. Coomes

    University of Cambridge, United Kingdom

    2 publications · 735 citations

    2

    h-index

  3. FG
    Francis Gilbert

    University of Nottingham, United Kingdom

    2 publications · 169 citations

    2

    h-index

  4. GP
    Guillaume Papuga

    Centre National de la Recherche Scientifique, France

    2 publications · 82 citations

    2

    h-index

  5. RP
    Robert P. Anderson

    American Museum of Natural History, United States

    2 publications · 2.7K citations

    2

    h-index

1–5 of 380

Venues

  1. Ecological Informatics

    5 publications · 122 citations

    5

    h-index

  2. Ecography

    4 publications · 2.9K citations

    4

    h-index

  3. Diversity and Distributions

    4 publications · 1.6K citations

    4

    h-index

  4. Ecological Indicators

    3 publications · 164 citations

    3

    h-index

  5. Journal of Applied Ecology

    3 publications · 337 citations

    3

    h-index

1–5