Information Theory for Correlation Analysis and Estimation of Uncertainty Reduction in Maps and Models
The quantification and analysis of uncertainties is important in all cases where maps and models of uncertain properties are the basis for further decisions. Once these uncertainties are identified, the logical next step is to determine how they can be reduced. Information theory provides a framewor...
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-04-01
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| Series: | Entropy |
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| Online Access: | http://www.mdpi.com/1099-4300/15/4/1464 |