Mining projects especially relating to limestone deposits require an accurate knowledge of tonnage and grade, for both short long-term planning. This is often difficult establish as detailed exploration operations, which are required get the description deposit, costly time consuming. Geologists mining engineers usually make use geometric geostatistical methods, estimating grade ore reserves. H...

In this paper we propose fast approximate methods for computing posterior marginals in spatial generalized linear mixed models. We consider the common geostatistical special case with a high dimensional latent spatial variable and observations at only a few known registration sites. Our methods of inference are deterministic, using no random sampling. We present two methods of approximate infer...

accurate knowledge of spatial distribution of soil physical and chemical properties is needed for suitable management and proper use of rangelands in masileh plain, qom, iran. in present study, for the spatial modeling of chemical and physical parameters such as sodium (na), calcium (ca), soluble potassium (k), magnesium (mg), electrical conductivity (ec), saturation percentage (sp%), silt, cla...

the performance of geostatistical and spatial interpolation techniques for estimation of spatial variability of heavy metals and water quality mapping of groundwater resources in ramiyan district (golestan province- iran) were investigated. 24 spring/well water samples were collected and the concentration of heavy metals (ni, co, pb, cd and cu) was determined using differential pulse polarograp...

Geostatistical algorithms that consider multiple-point statistics are becoming increasingly popular. These methods allow for the reproduction of complicated features beyond the commonly implemented two-point statistic: the covariance or semivariogram. In practice, it is not possible to infer many multiple-point statistics directly from the available data; therefore, it is common to borrow stati...

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...

This paper focuses on an overview of kernel density estimation especially for what concerns the choice of bandwidth and intensity parameters according to local conditions. A case study inherent seismic risk analysis of the old town centre of Potenza hilltop town has been discussed, with particular attention to the evaluation of the possible local amplifying factors. This first integrated applic...