Prenatal exposure to ambient fine particulate matter and climatic factors, such as temperature and rainfall, are associated ...

AI-powered SaaS platforms and decentralised networks are transforming sustainability in the fashion industry by enhancing ...

SpatialDeltaGLMM has been fully deprecated, and all functionality is available in R package VAST. Archived results for representative models are available in R package FishStatsUtils, and VAST uses ...

Deposition of pollutants around point sources of contamination, such as incinerators, can display complex spatial patterns depending on prevailing weather conditions, the local topography, and the ...

A data conflation method was developed based on a multiple-point geostatistical method. Geostatistics can quantify cross-correlation from different sources of data when integrating geospatial ...

Citation: Ademilola JA and Pashin JC (2025) Integrated geostatistical and stress-field assessment of Miocene-Pleistocene strata for offshore geologic carbon storage in the Central Gulf of Mexico.

Abstract: We present a framework for non-Gaussian spatial processes that encompasses large distribution families. Spatial dependence for a set of irregularly scattered locations is described with a ...

The 0.3 to 0.35 values represent the class of major occurrence in the studied area (Figure 11). CONCLUSIONS The system was useful for the geostatistical analysis process, for the manipulation of the ...

Geostatistical data refers to the spatial distribution and correlation of reservoir properties, such as porosity, permeability, saturation, and facies. These data can be derived from well logs ...

We extend the capability of space-time geostatistical modeling using algebraic approximations, illustrating application-expected accuracy worthy of double precision from majority low-precision ...