Geostatistics: Models and tools for the earth sciences |
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| Authors: | A G Journel |
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| Institution: | (1) Department of Applied Earth Sciences, Stanford University, 94305 Stanford, California |
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| Abstract: | The probability construct underlying geostatistical methodology is recalled, stressing that stationary is a property of the model rather than of the phenomenon being represented. Geostatistics is more than interpolation and kriging(s) is more than linear interpolation through ordinary kriging. A few common misconceptions are addressed. |
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| Keywords: | random function model stationarity interpolation local accuracy conditional probability |
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