This study estimated hepatitis A risk areas in a region of Duque de Caxias, Rio de Janeiro State, Brazil. A cross-sectional study consisting of a hepatitis A serological survey and a household survey were conducted in 19 census tracts. Of these, 11 tracts were selected and 1,298 children from one to ten years of age were included in the study. Geostatistical techniques allowed modeling the spat...

The work deals with the application of Support Vector Machines (SVM) for environmental and pollution spatial data analysis and modeling. The main attention is paid to classification of spatially distributed data with SVM and comparison with probabilistic mapping using nonparametric geostatistical model (indicator kriging). SVMs with RBF kernels were used. It is shown that optimal bandwidth of k...

spatial and temporal distribution of qualitative factors of groundwaters is important to preserve their quality. so, one of the advanced techniques for distribution of groundwater’s qualitative is geostatistic methods. in this study, 33 active wells were randomly sampled to determine the spatial distribution of nitrate pollution in groundwater of the siakh darengoun region (west of shiraz in fa...

Finite element analyses of irregular structures require adaptive mesh refinement to achieve more accurate results in an efficient manner. This is also true for a non-conventional finite method with Kriging interpolation, called the Kriging-based (K-FEM). paper presents study automatic meshing procedures two-dimensional linear elasticity problems using K-FEM. The Matlab Partial Differential Equa...

The aim of this paper is to compare four different methods for binary classification with an underlying Gaussian process with respect to theoretical consistency and practical performance. Two of the inference schemes, namely classical indicator kriging and simplicial indicator kriging, are analytically tractable and fast. However, these methods rely on simplifying assumptions which are inapprop...

This paper introduces the gstat package for the S language (R, S-PLUS). The package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. Gstat (http://www. gstat.org) was started 10 years ago and was released under the GPL in 1996; it is closely linked to several GIS systems. It was not initially written for teaching purposes, b...