Interpolation Uncertainty Visualization
Interpolation Uncertainty Visualization is a methodological framework within spatial uncertainty visualization that specifically represents the uncertainty associated with estimating values at unsampled locations through interpolation techniques, distinguishing itself by focusing on the propagation, quantification, and graphical depiction of errors and variability inherent in spatial prediction models.
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2017–2026
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1 publications · 34 citations
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University of California, Santa Cruz, United States
1 publications · 34 citations
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