Abstract: In Kriging interpolation, the types of variogram model are very finite, which make the variogram very difficult to describe the spatial distributional characteristics of true data. In order ...

Prior to every geostatistical estimation or simulation study there is a need for delimiting the geologic domains of the deposit, which is traditionally done manually by a geomodeler in a laborious, ...

The code supports 2D and 3D ordinary and universal kriging. Standard variogram models (linear, power, spherical, gaussian, exponential) are built in, but custom variogram models can also be used. The ...

Experimental variogram modelling is an essential process in geostatistics. The use of artificial intelligence (AI) is a new and advanced way of automating experimental variogram modelling. One part of ...

Abstract: Many existing variogram theoretical models which include nonlinear model, linear model and hole effect model had been existed. However, in the process of estimating the spatial distribution ...

ctmm is an R package for analyzing animal tracking data as a continuous-time stochastic processes. Package features include FFT variogram and Lomb-Scargle periodogram analysis, perturbative REML ...