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geoENV VII - Geostatistics for Environmental Applications


Series: Quantitative Geology and Geostatistics Volume: 16

Edited By: PM Atkinson and CD Lloyd

395 pages, 20 illustrations, 10 in colour


Hardback | Sep 2009 | #180332 | ISBN-13: 9789048123216
Availability: Usually dispatched within 1 week Details
NHBS Price: £139.99 $185/€159 approx

About this book

This volume brings together selected contributions from geoENV 2008, the 7th International Conference on Geostatistics for Environmental Applications, held in Southampton, UK, in September 2008. This book presents the state-of-the-art in geostatistics for the environmental sciences. It includes a wide range of methodological advances and applications. It offers insight and guidance for researchers, professionals, graduate students and others seeking information on the latest perspectives in the field. The rich body of applications will enable those new to geostatistics to assess the utility of the methods for their own applications.

The book includes 36 chapters on topics as diverse as methodological developments, applications in the soil sciences, climatology, pollution, health, wildlife mapping, fisheries and remote sensing, amongst other areas. With its focus on environmental applications of geostatistics, rather than the more traditional geostatistical remit of mining and petroleum exploration, this book is part of a series that presents an invaluable resource. This book will be a first port of call for those who wish to apply geostatistical methods in the environmental sciences.


On geostatistical analysis of rainfall using data from boundary sites.- Geostatistical Interpolation of Soil Properties in Boom Clay in Flanders.- Shelling in the First World War increased the heavy metal concentrations in the soil around Ypres.- Geostatistics studies of rubber tree dendrometrics characteristics and soil physical attributes.- Incorporating survey data to improve space-time geostatistical analysis of King Prawn catch rate.- Multivariate interpolation of monthly precipitation amount in the United Kingdom.- Change of the a priori stochastic structure in the conditional simulation of transmissivity fields.- Extreme precipitation modelling using geostatistics and machine learning algorithms.- Simulation of fine-scale heterogeneity of meandering river aquifer analogues: comparing different approaches.- Modeling spatial uncertainty for locally uncertain data.- Spatial Interpolation Using Copula-Based Geostatistical Models.- Application of multiple-point geostatistics on modelling groundwater flow and transport in a cross-bedded aquifer.- Exchanging uncertainty. Interoperable geostatistics? - Prediction of a multivariate spatial random field with continuous, count and ordinal.- Assessment of the impact of pollution by Arsenic in the vicinity of Panasqueira Mine (Portugal).- An examination of transformation techniques to investigate and interpret multivariate geochemical data analysis -- Tellus Case Study.- Detection of Optimal Models in High Dimensional Parameter Space with Support Vector Machines.- Geostatistics Applied to the City of Porto Urban Climatology.- Integrating Meteorological Dynamic Data and Historical Data into a Stochastic Model for Predicting Forest Fires Risk Maps.- Robust automatic mapping algorithms in a network monitoring scenario.- Parallel geostatistics for sparse and dense datasets.- Multiple Point Geostatistical Simulation with Simulated Annealing: Implementation using Speculative Parallel Computing.- Second-order analysis of the spatio-temporal distribution of human campylobacteriosis in Preston, Lancashire.- Simulation of continuous variables at meander structures:application to contaminated sediments of a lagoon.- Joint space-time geostatistical model for air quality surveillance/monitoring system.- Application of Copulas in Geostatistics.- Application of Geostatistics in Cancer Studies.- Integrating prior knowledge and locally varying parameters with Moving-GeoStatistics: methodology and application to bathymetric mapping.- Investigating the Potential of Area-to-Area and Area-to-Point kriging for Defining Management Zones for Precision Farming of Cranberries.- Geostatistical modelling of wildlife populations: a non-stationary hierarchical model for count data.- Geostatistical Methods for Polluted Sites Characterization.

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