Teacher's Aide Variogram Interpretation and Modeling
By E. Gringarten, Clayton V. Deutsch. 2001
365 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/da2cfd2feffb390eefd08758d33dbd1132683645
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Environmental Engineering
- F. Montes
- Dionissios T. Hristopulos
- George P. Karatzas
- Emmanouil A. Varouchakis
- L. Marini
- J. Nascimbene
In Mechanical Engineering
Citations in the corpus
- Improving kriging of groundwater level data using nonlinear normalizing transformations—a field application (2012, background): “Even though mild deviations from normality do not cause problems, significant deviations, e.g. due to high skewness and outliers, have an undesirable impact on the semivariogram structure and the kriging estimates (Gringarten and Deutsch 2001, Ouyang et al. 2006).”
- Variogram or semivariogram? Understanding the variances in a variogram (2008, background): “Some authors call the function c a ‘variogram’ (Wackernagel 2003; Worboys 1995; Gneiting et al. 2001), several authors call it a ‘semivariogram’ (Journel and Huijbregts 1978; Cressie 1991; Goovaerts 1997; Burrough and McDonnell 1998; Olea 1999; Stein 1999; Gringarten and Deutsch 2001 ), stating tha”
- Geostatistical modelling of air temperature in a mountainous region of Northern Spain (2007, background): “When observations are available in all directions, as usually occurs with geological surveys, the anisotropy may be modelled directly from the directional experimental variograms (Gringarten and Deutsch, 2001).”