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Use of Geostatistics in the sugarcane context in Brazil: a review
The use of Geostatistics has become increasingly popular in recent decades in the context of agricultural sciences, representing an excellent...
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Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems
Successful modelling of the groundwater level variations in hydrogeological systems in complex formations considerably depends on spatial and...
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Map** soil trace metal distribution using remote sensing and multivariate analysis
Trace metal soil contamination poses significant risks to human health and ecosystems, necessitating thorough investigation and management...
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Probabilistic assessment of spatiotemporal fine particulate matter concentrations in Taiwan using multivariate indicator kriging
Assessments of spatiotemporal fine particulate matter (PM 2.5 ) concentrations are crucial for establishing risk maps and maintaining human health....
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Map** soil properties with soil-environmental covariates using geostatistics and multivariate statistics
The spatial modelling of soil properties provides us with essential and useful information relevant to soil fertility management and environmental...
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Blind recovery of sources for multivariate space-time random fields
With advances in modern worlds technology, huge datasets that show dependencies in space as well as in time occur frequently in practice. As an...
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Temporal Groundwater Level Prediction Using Multivariate Geostatistics: A Case Study from Sfax Superficial Aquifer (Tunisia)
Predictive modeling of the spatiotemporal behavior of groundwater level is important in quantitative water management, especially in arid areas....
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Characterizing spatial dependence of boron, arsenic, and other trace elements for Permian groundwater in Northern Anhui plain coal mining area, China, using spatial autocorrelation index and geostatistics
Anthropogenic and geological factors play an essential role in the variability of groundwater quality, resulting in a weak spatial dependence of...
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Geostatistics Interceded Groundwater Quality Study with Emphasis on Kriging Across the Andhra Pradesh State of India
This work aims to use geostatistical tools to understand the spread of groundwater quality variables across the state. Ordinary kriging, simple...
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A holistic review on the assessment of groundwater quality using multivariate statistical techniques
AbstractWater is an essential element in nature. It is used in drinking, irrigation, and industry mainly. Human health is directly linked to...
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Trace metal contamination status in soils of the abandoned gold mining district of Bindiba (East Cameroon): Pollution indices assessment, multivariate analysis and; geostatistical approach
In this study, contamination by trace metals (TMs) such as Cr, Ni, Cu, As, Pb and Sb in the soils of the Bindiba mining district was assessed. This...
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Source apportionment and risk assessment of soil heavy metals around a key drinking water source area in northern China: multivariate statistical analysis approach
With the intensive urbanization and industrialization in recent years, lots of products containing heavy metals (HMs) have brought in severe...
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Large-scale precipitation monitoring network re-design using ground and satellite datasets: coupled application of geostatistics and meta-heuristic optimization algorithms
Precipitation is a key constituent of the water cycle and its accurate measurement is essential for a wide range of hydroclimatic studies. Although...
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A review of water quality models and monitoring methods for capabilities of pollutant source identification, classification, and transport simulation
Water quality monitoring and modeling are vital in improving the aquatic ecosystem's health and surroundings. The advancements in computer science...
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Assessing local and spatial uncertainty with nonparametric geostatistics
Uncertainty quantification is an important topic for many environmental studies, such as identifying zones where potentially toxic materials exist in...
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Hydro-geochemical analysis based on entropy and geostatistics model for delineation of anthropogenic ground water pollution for health risks assessment of Dhenkanal district, India
Consumption of poor quality water causes serious human health hazards. Therefore, it is very crucial to investigate factors influencing the quality...
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Multivariate statistical and GIS methods for the assessment of heavy metal toxicity in Ekulu River, Southeastern, Nigeria
The increased rate of population and industrialization in the world today have enhanced contamination by toxic elements, which presents a public...
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Integrating water quality index, GIS and multivariate statistical techniques towards a better understanding of drinking water quality
Groundwater is considered as an imperative component of the accessible water assets across the world. Due to urbanization, industrialization and...
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Using geostatistical methods in soil magnetometry: a review
PurposeSoil contamination is one of the most pressing environmental problems on a global scale. However, assessing the shape and size of an area...
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Assessment of Soil Contamination Using Remote Sensing and Spatial Techniques
Soil contamination poses an enormous challenge to environmental and human health, necessitating effective assessment and management. Assessing the...