Abstract: The spatial structures displayed by remote sensing imagery are essential information characterizing the nature and the scale of spatial variation of Earth surface processes. This paper ...

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 course aims to provide guidance on key technical issues that affect the sector and can help assess and rank the opportunities in the both technical appraisal and financial evaluation of mineral ...

ABSTRACT: Soil fertility is a determining factor for agricultural productivity and food security. This study aims to map the spatial variability of soil fertility parameters (nitrogen, pH, and carbon) ...

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 ...

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 ...

Domaining plays a significant role when major statistical or geostatistical variations are observed across a site, which can influence the results of spatial modeling. In this paper, hard and fuzzy ...