The packages geoR and geoRglm are contributed packages to the statistical software system R, implementing methods for model-based geostatistical data-analysis. In this paper we focus on the capabilities of the packages, the computational implementation and related issues, and indicate directions for future developments. geoR implements methods for Gaussian and transformed Gaussian models. The p...

The spatial prediction of point values from areal data of the same attribute is addressed within the general geostatistical framework of change of support; the term support refers to the domain informed by each datum or unknown value. It is demonstrated that the proposed geostatistical framework can explicitly and consistently account for the support differences between the available areal data...

The new multiple-point geostatistical algorithm (FILTERSIM), which can handle both categorical and continuous variable training images, is implemented in the SGeMS software. The spatial patterns depicted by the training image are first summarized into a few filter scores; then classified into pattern groups in the filter score space. The sequential simulation approach proceeds by associating ea...

Despite an ever-increasing number of spaceborne, airborne, and ground-based data acquisition platforms, remote sensing are still often spatially incomplete or temporally irregular. While deterministic interpolation techniques used, they tend to create unrealistic spatial patterns generally do not provide uncertainty quantification. Geostatistical simulation models effective in generating ensemb...

BACKGROUND Cancer mortality maps are used by public health officials to identify areas of excess and to guide surveillance and control activities. Quality of decision-making thus relies on an accurate quantification of risks from observed rates which can be very unreliable when computed from sparsely populated geographical units or recorded for minority populations. This paper presents a geosta...

Stochastic seismic inversion is an important part of geostatistical method, and the combination sequence simulation. In process random inversion, firstly, histogram distribution variables counted, variation function calculated, range in different directions determined. Then, for each implementation, traces are synthesized at channel position according to calculated reflection coefficient, error...