Multiscale Spatial Prediction
Multiscale Spatial Prediction is a spatial prediction framework that integrates data and processes across multiple spatial scales to improve accuracy and generalizability by explicitly modeling scale-dependent patterns and interactions.
14
Publications
404
Citations
57
Authors
32
Institutions
Publications per year
2017–2026
8
Parents
14
Jun Zhao, Yang Liu, Witold Pedrycz et al. · IEEE Transactions on Industrial Informatics · 2021 · 29 citations
1–5 of 14
57
1
h-index
1
h-index
1
h-index
1
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Queensland Department of Environment and Science, Australia
1 publications · 14 citations
1
h-index
1–5 of 57
32

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
371 citations
Northeast Institute of Geography and Agroecology
Changchun, China
1 h-index
3 publications
243 citations
Natural Resources Canada
Ottawa, Canada
1 h-index
2 publications
34 citations
Institute of Automation
Beijing, China
1 h-index
1 publications
128 citations
The Ohio State University
Columbus, United States
1 h-index
2 publications
22 citations
Systems Research Institute
Warsaw, Poland
1 h-index
1 publications
29 citations
Tsinghua University
Beijing, China
1 h-index
2 publications
256 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
4 publications
40 citations
1–8 of 32
2 publications · 98 citations
2
h-index
1 publications · 12 citations
1
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1 publications · 27 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5