Spatial Feature Selection Bias
Spatial Feature Selection Bias is a systematic error in geospatial analysis arising from non-random inclusion or exclusion of spatial features based on their geographic distribution, temporal availability, or measurement characteristics, thereby distorting model generalization and inference.
6
Publications
285
Citations
20
Authors
11
Institutions
Publications per year
2017–2026
2
6
Patrick Aravena Pelizari, Henrik Schrade, Alexander Brenning et al. · IEEE Geoscience and Remote Sensing Letters · 2017 · 42 citations
1–5 of 6
20
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Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
1 publications · 42 citations
1
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1
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1
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Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
1 publications · 42 citations
1
h-index
1–5 of 20
11

Shirley Ryan AbilityLab
Chicago, United States
1 h-index
4 publications
120 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
1 h-index
2 publications
60 citations

Vanderbilt University
Nashville, United States
1 h-index
2 publications
246 citations
Ludwig-Maximilians-Universität München
Munich, Germany
1 h-index
1 publications
30 citations
University of California San Diego
San Diego, United States
1 h-index
1 publications
123 citations
Northwestern University
Evanston, United States
1 h-index
6 publications
180 citations

Tamagawa University
Tokyo, Japan
1 h-index
1 publications
30 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
1 h-index
3 publications
126 citations
1–8 of 11
JN · 2 publications · 60 citations
2
h-index
1 publications · 43 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 123 citations
1
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GRSL · 1 publications · 42 citations
1
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