The anisotropy and directional variation of spatial attributes is one of the most important
challenges in spatial estimation of environmental features. This problem received a suitable …

Accurate spatial estimation of extremes is an increasingly important topic in environmental
research and risk assessment. Conditional bias (CB)-penalized kriging (CBPK) improves …

Using the test–retest data of the relative gravity field and earthquake monitoring catalog of
the Three Gorges Reservoir (TGR) from October 2001 to October 2009, this paper …

Estimates of natural phenomena with spatial correlation, ie stationary domains, are more
precise and accurate when performed using geostatistical techniques (eg kriging). The …

As the best linear estimator, kriging is now a well-established method in all types of 3D
geomodelling, including geochemical mapping, rock type modelling, 2D geophysical …

Kriging methods require parameters to define search strategy (kriging neighbourhood).
These parameters affect the precision and accuracy of its estimates. Frequently, the choice …

As the best linear estimator, Kriging is now a well-established method in all types of 2D and
3D modeling, including geochemical mapping, rock types modeling, geophysical mapping …