Cross-validation For Interpolation
Cross-Validation for Interpolation is a model evaluation technique that systematically partitions spatial data into training and test subsets to assess the predictive accuracy of an interpolation method by quantifying the discrepancy between observed and predicted values at withheld locations.
29
Publications
3K
Citations
97
Authors
50
Institutions
Publications per year
2017–2026
11
Parents
29
1–5 of 29
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Universidade do Estado do Amazonas, Brazil
1 publications · 31 citations
1
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GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany
1 publications · 128 citations
1
h-index
1–5 of 97
50
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
2 h-index
5 publications
298 citations
Escola Superior de Ciências da Saúde
Brasília, Brazil
1 h-index
2 publications
62 citations
Xinjiang Institute of Ecology and Geography
Ürümqi, China
1 h-index
2 publications
108 citations

Bureau of Economic Analysis
Washington D.C., United States
1 h-index
1 publications
589 citations
Universidade do Estado do Amazonas
Manaus, Brazil
1 h-index
4 publications
124 citations
Thi Qar University
Nasiriyah, Iraq
1 h-index
1 publications
28 citations
Slovak Academy of Sciences
Bratislava, Slovakia
1 h-index
1 publications
146 citations

University of Nigeria
Nsukka, Nigeria
1 h-index
3 publications
381 citations
1–8 of 50
2 publications · 155 citations
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CAGEO · 2 publications · 123 citations
2
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2 publications · 56 citations
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2 publications · 666 citations
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1 publications · 31 citations
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