Geostatistics for Natural Resources Evaluation

By T. Coburn. 2000

4,896 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Environmental Engineering

Citations in the corpus

Taking the Human Out of the Loop: A Review of Bayesian Optimization (2016, methodology): “An alternative view of the ICM model is that it deﬁnes a latent process that is rotated and scaled to produce each of the individual tasks.”
Gaussian Process Regression Networks (2011, methodology): “…1) the linear model of coregionalisation (LMC) (Journel and Huijbregts, 1978; Goovaerts, 1997), 2) the intrinsic coregionalisation model (ICM) (Goovaerts, 1997), 3) ordinary co-kriging (Cressie, 1993; Goovaerts, 1997; Wackernagel, 2003), 4) the semiparametric latent factor model (SLFM) (Teh…”
Spatial analysis for epidemiology. (2004, background): “Kriging comes in many forms depending on (i) whether the objective is to predict to points, blocks or the entire region, (ii) whether the data are univariate or multivariate and (iii) how the mean value is modelled (Goovaerts, 1997; Pleydell et al., 2004).”
Analysing Ecological Data (2007, background): “There are three basic forms of kriging (Goovaerts 1997; Chiles and Delfiner 1999), namely: 1.”
Object-based contextual image classification built on image segmentation (2003, methodology): “process via stratified kriging which is nothing more than kriging applied to the strata independently [ 19 ].”
A comparison of different algorithms for the delineation of management zones (2010, methodology): “Finally, all data were interpolated to the same 1 9 1 m grid using cokriging or kriging ( Goovaerts 1997 ).”
Improvement in mapping vegetation cover factor for the universal soil loss equation by geostatistical methods with Landsat Thematic Mapper images (2002, methodology): “the spatial cross-variability between two random functions can be calculated by cross-semivariogram ( Goovaerts 1997 ) in equation (9):”