geoENV VII – Geostatistics for Environmental Applications

  • P. M. Atkinson
  • C. D. Lloyd

Part of the Quantitative Geology and Geostatistics book series (QGAG, volume 16)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Loris Foresti, Alexei Pozdnoukhov, Devis Tuia, Mikhail Kanevski
    Pages 41-52
  3. José Manuel Mirás Avalos, Patricia Sande Fouz, Eva Vidal Vázquez
    Pages 53-63
  4. Joaquim Góis, Henrique Garcia Pereira, Ana Rita Salgueiro
    Pages 65-75
  5. Pierre Goovaerts
    Pages 107-119
  6. Diana dell’Arciprete, Fabrizio Felletti, Riccardo Bersezio
    Pages 127-137
  7. Ana Rita Salgueiro, Paula Helena Ávila, Henrique Garcia Pereira, Eduardo Ferreira da Silva
    Pages 151-159
  8. Ana Horta, Maria Helena Caeiro, Ruben Nunes, Amílcar Soares
    Pages 161-172
  9. Ana Russo, Amílcar Soares, Maria João Pereira, Ricardo M. Trigo
    Pages 173-185
  10. Carlos Llopis-Albert, José Esteban Capilla Romá
    Pages 211-217

About this book

Introduction

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 35 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.

Audience:
Researchers, scientists, professionals, institutes, libraries, graduate students of geosciences, geostatistics, spatial statistics, environmental science and engineering, ecology, oceanography, climatology, hydrology, soil and forestry science.

Keywords

Environment Geostatistics Kriging Spatial analysis algorithms biology data analysis digital elevation model geostatistical analysis learning machine learning pollution simulation statistics transport

Editors and affiliations

  • P. M. Atkinson
    • 1
  • C. D. Lloyd
    • 2
  1. 1.School of GeographyUniversity of SouthamptonSouthamptonUnited Kingdom
  2. 2.Fac. Science, School of GeosciencesQueen's University BelfastBelfastUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-90-481-2322-3
  • Copyright Information Springer Science+Business Media B.V. 2010
  • Publisher Name Springer, Dordrecht
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-90-481-2321-6
  • Online ISBN 978-90-481-2322-3
  • Series Print ISSN 0924-1973
  • About this book
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