Predicting the spatial distribution of braided fluvial facies reservoirs is paramount significance for oil and gas exploration development. Given that seismic materials enjoy an advantage in dense sampling, many methods have been proposed to predict reservoir based on different attributes. Nevertheless, attributes sensitivities reservoirs, informational redundancy between them makes it difficul...

A geostatistical framework is proposed to downscale daily precipitation and temperature. The methodology is based on multiple-point geostatistics (MPS), where a multivariate training image is used to represent the spatial relationship between daily precipitation and daily temperature over several years. Here the training image consists of daily rainfall and temperature outputs from the Weather ...

The distribution of S and L strains of Aspergillus flavus shows a stable structure based on spatial analysis with GIS/ geostatistics, that was not previously realized. This information will be exceptionally useful to programs involved with or planning large scale treatments to reduce aflatoxin threats because it can be used to spatially focus treatments.

This paper presents a geostatistical model as a new approach to the linear prediction analysis of speech. The autocorrelation method of autoregressive modeling, which is widely applied in the linear predictive coding of speech, is used as a benchmark for comparison with the present algorithm. Before discussing the proposed model, we will briefly describe the concepts of linear prediction analys...

The estimation of missing observations is an important research field which has practical applications in many science and engineering disciplines. In analyzing the variability of a particular data set which can be spatially related, classical statistical methods make no use of this type of information; whereas geostatistics accomodates the spatial information of the data set in its regression ...

Sporisorium reilianum has caused significant economical damages in Mexico, in temperate and relatively dry areas, where maize is cultivated. The knowledge about the spatial distribution of this pathogen is basic to elaborate integrated management programs, and precise and eff icient the development of sampling methods and control techniques. Unfortunately, in Mexico there are no studies on spat...