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Geostatistics for Environmental Applications

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Cover of 'Geostatistics for Environmental Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Change of support: an inter-disciplinary challenge
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    Chapter 2 Combining categorical and continuous information using Bayesian Maximum Entropy
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    Chapter 3 Geostatistical prediction of spatial extremes and their extent
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    Chapter 4 Monitoring network optimisation using support vector machines
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    Chapter 5 Bayesian Kriging with lognormal data and uncertain variogram parameters
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    Chapter 6 Kriging of scale-invariant data: optimal parameterization of the autocovariance model
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    Chapter 7 Scaling Effects on Finite-Domain Fractional Brownian Motion
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    Chapter 8 The delineation of fishing times and locations for the Shark Bay scallop fishery
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    Chapter 9 A spatial extension of CART: application to classification of ecological data
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    Chapter 10 Using a Markov-type model to combine trawl and acoustic data in fish surveys
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    Chapter 11 Mapping unobserved factors on vine plant mortality
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    Chapter 12 Analysis and modelling of spatially and temporally varying phenological phases
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    Chapter 13 Detection of spatial clusters and outliers in cancer rates using geostatistical filters and spatial neutral models
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    Chapter 14 Geostatistical assessment of long term human exposure to air pollution
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    Chapter 15 Air quality models resulting from multi-source emissions
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    Chapter 16 Variogram estimation with noisy data in the space-time domain: application to air quality modelling
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    Chapter 17 Multiple-point geostatistics: a powerful tool to improve groundwater flow and transport predictions in multi-modal formations
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    Chapter 18 Simulation of radionuclide mass fluxes in a heterogeneous clay formation locally disturbed by excavation
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    Chapter 19 Modeling density-dependent flow using hydraulic conductivity distributions obtained by means of non-stationary indicator simulation
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    Chapter 20 Random field approach to seawater intrusion in heterogeneous coastal aquifers: unconditional simulations and statistical analysis
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    Chapter 21 Uncertainty estimation of well catchments: semianalytical post-processing
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    Chapter 22 Conditional moments of residence time of sorbent solutes under radial flow
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    Chapter 23 Impact of the choice of the variogram model on flow and travel time predictors in radial flows
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    Chapter 24 Strategies to determine dispersivities in heterogeneous aquifers
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    Chapter 25 Solving the groundwater inverse problem by successive flux estimation
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    Chapter 26 Inverse problem for highly heterogeneous porous media: the factorial geostatistical analysis in differential system method
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    Chapter 27 Inverse stochastic estimation of well capture zones with application to the Lauswiesen site (Tübingen, Germany)
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    Chapter 28 “Soft” geostatistical analysis of radioactive soil contamination
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    Chapter 29 Modelling the spatial distribution of copper in the soils around a metal smelter in northwestern Switzerland
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    Chapter 30 Towards a real-time multi-phase sampling strategy optimization
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    Chapter 31 Spatio-temporal mapping of sea floor sediment pollution in the North Sea
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    Chapter 32 Merging Landsat TM and SPOT-P images with geostatistical stochastic simulation
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    Chapter 33 Characterising local spatial variation in land cover using geostatistical functions and the discrete wavelet transform
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    Chapter 34 Distinguishing features from outliers in automatic Kriging-based filtering of MBES data: a comparative study
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    Chapter 35 Forecasting volcanic eruptions using geostatistical methods
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    Chapter 36 Delineation of estuarine management units: Evaluation of an automatic procedure
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    Chapter 37 Estimating indicators of river quality by geostatistics
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    Chapter 38 Stochastic simulation of rainfall using a spacetime geostatistical algorithm
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    Chapter 39 Inferring the lateral subsurface correlation structure from georadar data: Methodological background and experimental evidence
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Title
Geostatistics for Environmental Applications
Published by
Springer Berlin Heidelberg, January 2005
DOI 10.1007/b137753
ISBNs
978-3-54-026533-7, 978-3-54-026535-1
Authors

Renard, Philippe, Demougeot-Renard, Hélène, Froidevaux, Roland

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Student > Ph. D. Student 5 25%
Student > Master 3 15%
Professor > Associate Professor 2 10%
Lecturer 1 5%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Earth and Planetary Sciences 6 30%
Environmental Science 5 25%
Unspecified 1 5%
Agricultural and Biological Sciences 1 5%
Mathematics 1 5%
Other 2 10%
Unknown 4 20%