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
Parents
279
1–5 of 279
1.1K
6
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 1.1K
597

Chinese Academy of Sciences
Beijing, China
7 h-index
14 publications
549 citations

UNSW Sydney
Sydney, Australia
6 h-index
16 publications
531 citations
Harvard University
Cambridge, United States
5 h-index
7 publications
757 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
6 publications
565 citations
Columbia University
New York, United States
5 h-index
12 publications
1.1K citations
Colorado State University
Fort Collins, United States
5 h-index
8 publications
1.6K citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
10 publications
1.7K citations
United States Geological Survey
Reston, United States
4 h-index
6 publications
1.3K citations
1–8 of 597
9 publications · 901 citations
9
h-index
8 publications · 2K citations
8
h-index
7 publications · 184 citations
7
h-index
6 publications · 322 citations
6
h-index
6 publications · 1.4K citations
6
h-index
1–5