kriging
- noun
- /ˈkraɪɡɪŋ/
- Specialized
- The accuracy of the kriging method improves significantly with the inclusion of diverse data points from the region.
Examples
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Researchers employed kriging to predict rainfall patterns based on data from nearby weather stations.
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The cross-correlation and autocorrelation functions are related to the idea of kriging, where you try to figure out where good mining or oil prospect locations are based on sample locations.
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To apply the same kriging function everywhere is too much of a simplification.
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By the way, kriging is not used anywhere near as much in oil exploration as it is used in mineral exploration.
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For temporal kriging to work, you need some mix of day and night temperatures.
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Without kriging, this would give a very different result from doing all readings at midday.
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Why isn't kriging used more often for spatial temperature estimations?
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In order to judge whether any given application of kriging has been successful, you have to ask whether the bias before was more or less of a problem than the potentially greatly amplified noise after.
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Google Scholar lists about 50,000 articles that use the term Kriging, with over 3,000 that use it in the title, which means this is a well-known method.
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Kriging is a widely used technique in geostatistics for estimating soil properties at unmeasured locations.
Surface Forms
Morphology
kriging = Krige (opaque) = Krige + ing
The word is historically named after the surname Krige, but the meaning of a geostatistical method is not recoverable from the base name for most learners.
Etymology
Kriging is named after the South African engineer Danie Krige, who developed a way to estimate missing ground values from nearby samples. Think of Krige 'filling in' gaps from neighbours, which is why kriging means the method of making maps and predictions from limited data.