The development of geostatistics has been mostly accomplished by application-oriented engineers in the past 20 years. The focus on concrete applications gave birth to many algorithms and computer programs designed to address different issues, such as estimating or simulating a variable while possibly accounting for secondary information such as seismic data, or integrating geological and geomet...

Background & Aims of the Study: The aim of this study is spatial distribution of arsenic (As) under the influence of chemical fertilizers using geostatistics in city of Eghlid, Iran. Materials & Methods: In this descriptive study, spatial distribution of arsenic was randomly investigated in 100 soil samples and its content was measured by ICP-OES. Spatial distribution of As and geostatistic...

Precipitation estimation is a challenging task, especially in regions where its spatial distribution irregular and highly variable. This study evaluated the of annual rainfall semiarid Brazilian basin under different regimes impact on land use cover dynamics. Climate Hazards Group InfraRed with Stations (CHIRPS) records observed data from 40 weather stations over time series 55 years were used,...

This article models, through Geostatistics, a database with space-time characteristics seeking to examine climate variations in the state of Bahia located Northeast region Brazil. dataset consists information from 86 stations recorded by National Institute Meteorology (INMET) January 2010 December 2022 for state. The focus analysis was study time series data related air temperature. Initially, ...

groundwater aquifers are an important source of water supply for agriculture, industry and drinking. the present study investigates the changes in the quality of groundwater using geostatistical methods in the ravar plain during a 10-year period. in this study, after selecting the appropriate spatial interpolation method to draw water quality parameters such as tds, sar and ec, zoning maps of r...