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On the Contribution of Hydrogeology to Advances in Geostatistics This contribution is illustrated by prominent examples of several types of approach: adaptations of kriging and conditional simulations to a direct modelling of hydraulic head; early solutons to the inverse problem; stochastic inversion of hydrogeologic data in the framework of a linearized flow eq

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Advances in Modeling and Inference for Environmental Processes with Nonstationary Spatial Covariancetially. These analyses address tasks such as spatial estimation (kriging) and monitoring network design, as well as the basic scientific characterization of the second order properties of these processes. Prior to 1990, the lack of general models for the spatial covariance function led to almost exc

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Ordinary and Indicator Kriging of Monthly Mean Nitrogen Dioxide Concentrations in the United Kingdomich provides monthly averages of NO. concentrations. The monthly averages were interpolated using ordinary kriging (OK) and indicator kriging (IK) to estimate unknown NO. concentration (in ppb) over the UK on a 1 km by 1 km grid. In addition, IK was used to predict spatially the probability of excee

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Total Air Pollution And Space-Time Modellingion. Principal Component Analysis (PCA) provides a tool for removing the interdependence of the contaminant concentrations, in addition an analysis of the principal components, eigenvectors and eigenvalues provides additional insight into the dispersion and occurrence of the pollution plume. New mod

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Geostatistical Interpolation of Rainfall in Mountainous Areashe water cycle such as the rainfalls, is then a crucial condition to obtain reliable and accurate results. However, it is not always easy to get a representative rainfall map, particularly in rugged terrain where the spatial structure of the rainfall is complex..Two geostatistical methods that mix r

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Powering an Egyptian Air Quality Information System with the Bayesian Maximum Entropy Space/Time Anaality in Cairo. There are currently several monitoring stations collecting air quality data, such as Particulate Matter (PM) and Lead concentrations, in the greater Cairo area. The analysis of this data needs to address several critical issues including (a) the high variability of data in space and

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