prediction of annual average precipitation over a regin is one of important issues in watersherd management and natural resources planning. geostatistics is one of the useful methods for precipitation prediction which varies based on type of the variable. this study was conducted in karoon and dez basins located in southwertern of iran. the data set including 20 years of annual precipitation of...

The modeling of the spatial distribution of image properties is important for many pattern recognition problems in science and engineering. Mathematical methods are needed to quantify the variability of this spatial distribution based on which a decision of classification can be made in an optimal sense. However, image properties are often subject to uncertainty due to both incomplete and impre...

A significant amount of academic research in criminology focuses on spatial and temporal event analysis. Although several efforts have integrated spatial and temporal analyses, most previous work focuses on the space-time interaction and space-time clustering of criminal events. This research expands previous work in geostatistics and disease clustering by using a Bayesian hierarchical framewor...

Maps of parasite prevalences and other aspects of infectious diseases that vary in space are widely used in parasitology. However, spatial parasitological datasets rarely, if ever, have sufficient coverage to allow exact determination of such maps. Bayesian geostatistics (BG) is a method for finding a large sample of maps that can explain a dataset, in which maps that do a better job of explain...

the kaolinitic clays have been exploited for more than a hundred years, in the western part of the charentes basin, france, and belong to a paleo-deltaic network. the recent deposits are relatively richer in alumina in comparison with the older ones. the genesis of the kaolin deposits of the charentes basin follows simple geological rules, but their detailed geometry has a great complexity, rei...

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t744347545 Geostatistics for automatic estimation of environmental variables-some simple solutions J. O. Skøien a; E. J. Pebesma b; G. Blöschl c a Department of Physical Geography, Un...

A typical subsurface environment is heterogeneous, consists of multiple materials, and is often insufficiently characterized by data. The ability to delineate geologic facies and to estimate their properties from sparse data is essential for modeling physical and biochemical processes occurring in the subsurface. Geostatistics has become an invaluable tool for estimating such properties at poin...

Joint modeling of spatially oriented dependent variables is commonplace in the environmental sciences, where scientists seek to estimate relationships among a set outcomes accounting for dependence these and spatial each outcome. Such now sought massive data sets with measured at very large number locations. Bayesian inference, while attractive accommodating uncertainties through hierarchical s...