This paper presents an overview of geostatistical simulation with particular focus on aspects of importance to its application for quantification of risk in the mining industry. Geostatistical simulation is a spatial extension of the concept of Monte Carlo simulation. In addition to reproducing the data histogram, geostatistical simulations also honour the spatial variability of data, usually c...

Spatial dependence exists when the variation between observations is dependent on spatial location. In the present study, geostatistical methods were used to examine spatial dependence in adolescents’ perceptions of their neighborhoods: whether adolescents living in close proximity perceived their neighborhoods more similarly than adolescents living further apart. Participants included 343 adol...

The benefits of an integrated geographical information system (GIS) and a geostatistics approach to accurately model the spatial distribution pattern of precipitation are known. However, the determination of the most appropriate geostatistical algorithm for each case is usually neglected, i.e. it is important to select the best interpolation technique for each study area to obtain accurate resu...

The packages geoR and geoRglm are contributed packages to the statistical software system R, implementing methods for geostatistical data analysis. Diggle, Ribeiro Jr. and Christensen (2003) provides an introduction to the modelling and theory behind these two packages. In this paper we focus on the capabilities of the packages, the computational implementation and related issues, and indicate ...

This study aims to recognize effect of Ordinary Kriging (OK) and Inverse Distance Weighted (IDW) estimation methods for separation of geochemical anomalies based on soil samples using Concentration-Area (C-A) fractal model in Irankuh area, central Iran. Variograms and anisotropic ellipsoid were generated for the Pb and Zn distribution. Thresholds values from the C-A log-log plots based on the e...

Classical geostatistical methods are powerful tools to study the spatial-temporal structure of stationary processes. Separability is also a common assumption to avoid many of the problems of space and time modeling. This subclass of separable spatial-temporal processes has several advantages, including rapid fitting and simple extensions of many techniques developed and successfully used in tim...

abstract guilan is a famous province in growing rice in iran. recently, due to shortage of water, farmers' desire to use groundwater in order to grow rice in northern part of iran has been increasing rapidly. the fact that rice is sensitive to water quality, caused concern about rice cultivation sustainability in the area, especially in drought years. this study was done to investigate the spat...

the uniaxial compressive strength (ucs) of intact rocks is an important geotechnical parameter required for designing geotechnical and mining engineering projects. obtaining accurate estimates of the rock mass ucs parameter throughout a 3d geological model of the deposit is vital for determining optimum rock slope stability, designing new exploratory and blast boreholes, mine planning, optimizi...