Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a cornerstone for field mapping, machinery guidance, and variable rate technology. However, recent improvements GNSS components (GPS, GLONASS, Galileo, BeiDou) novel remote sensing computer processing-based solutions PA have not been comprehensively analyzed scientific reviews. Therefore, this study aims to explo...

Differences in spatial supports (shape, size, etc.) among spatial data often complicate spatial data analyses, and spatial support conversions, such as aggregation, disaggregation, and interpolation, are often applied to cope with them. However, in general, spatial support conversions present the following problems: (i) how to convert data accurately? and (ii) how to reduce biases caused by the...

Reservoir characterization This paper gives an overview of the activities in geostatistics for the Petroleum industry in the domain of reservoir characterization. This description has been simplified in order to emphasize the original techniques involved. The main steps of a study consist in successively building: • the reservoir architecture where the geometry of the units is established, • th...

Pseudoreplication is the failure of a statistical analysis to properly incorporate the true structure of randomness present in the data. It has been well documented and studied in the ecological literature but has received little attention in the fisheries literature. Avoiding pseudoreplication in analyses of fisheries data can be difficult due to the complexity of the statistical procedures re...

here in, an application of a new seismic inversion algorithm in one of iran’s oilfields is described. stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. this method integrates information from different data sources with different scales, as prior informat...

The work deals with the development and use of mixed models (artificial neural networks-ANN and modern geostatistical models) for the analysis of spatially distributed environmental data. When multivariate data have complex non-linear trends or high variability at different scales in the region of study it is proposed to use ANN to model non-linear large scale structures (deterministic trends) ...

Fractional Gaussian fields provide a rich class of spatial models and have long history applications in multiple branches science. However, estimation inference for fractional present significant challenges. This book chapter investigates the use Laplacian differencing on regular lattices to approximate continuum fields. Emphasis is given model based geostatistics likelihood computations. For c...