Ensemble Spatial Prediction
Ensemble Spatial Prediction is a spatial prediction framework that integrates multiple individual predictive models or algorithms to generate a more accurate, robust, and uncertainty-aware spatial inference than any single constituent model.
56
Publications
5.1K
Citations
285
Authors
171
Institutions
Publications per year
2017–2026
46
Parents
56
Evaluation of consensus methods in predictive species distribution modelling
Mathieu Marmion, Miia Parviainen, Miska Luoto et al. · Diversity and Distributions · 2008 · 1.4K citations · Full text
Computing, Ecology, Spatial Analysis +14
Qian Di, Heresh Amini, Liuhua Shi et al. · Environmental Science & Technology · 2019 · 300 citations · Full text
Ruhollah Taghizadeh‐Mehrjardi, Karsten Schmidt, Alireza Amirian‐Chakan et al. · Remote Sensing · 2020 · 213 citations · Full text
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171
Emory University
Atlanta, United States
4 h-index
12 publications
2.1K citations
Harvard University
Cambridge, United States
4 h-index
21 publications
3.3K citations
NOAA National Marine Fisheries Service
Silver Spring, United States
3 h-index
12 publications
398 citations
Oregon State University
Corvallis, United States
3 h-index
5 publications
146 citations
National Cheng Kung University
Tainan City, Taiwan
2 h-index
7 publications
265 citations
Goddard Space Flight Center
Greenbelt, United States
2 h-index
2 publications
415 citations

University of Louisville
Louisville, United States
2 h-index
6 publications
819 citations

Sun Yat-sen University
Guangzhou, China
2 h-index
7 publications
1.5K citations
1–8 of 171
4 publications · 418 citations
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2 publications · 96 citations
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2 publications · 40 citations
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2 publications · 183 citations
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2 publications · 49 citations
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