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Geostatistics for environmental scientists / Richard Webster and Margaret A. Oliver.

By: Contributor(s): Series: Statistics in practicePublication details: Chichester ; Hoboken, NJ : Wiley, ©2007.Edition: 2nd edDescription: 1 online resource (xii, 315 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780470517277
  • 0470517271
  • 9780470517260
  • 0470517263
Subject(s): Genre/Form: Additional physical formats: Print version:: Geostatistics for environmental scientists.DDC classification:
  • 550.727 22
LOC classification:
  • QE33.2.S82 W43 2007eb
Online resources:
Contents:
Preface -- Introduction -- Basic statistics -- Prediction and interpolation -- Characterizing spatial processes : the covariance and variogram -- Modelling the variogram -- Reliability of the experimental variogram and nested sampling -- Spectral analysis -- Local estimation or prediction: kriging -- Kriging in the presence of trend and factorial kriging -- Cross-correlation, coregionalization and cokriging -- Disjunctive kriging -- Stochastic simulation -- Appendix A -- Appendix B -- References -- Index.
In: Wiley e-booksSummary: 'Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes--such as the distribution of pollution--vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited.'--EBL choice.
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Includes bibliographical references and index.

Preface -- Introduction -- Basic statistics -- Prediction and interpolation -- Characterizing spatial processes : the covariance and variogram -- Modelling the variogram -- Reliability of the experimental variogram and nested sampling -- Spectral analysis -- Local estimation or prediction: kriging -- Kriging in the presence of trend and factorial kriging -- Cross-correlation, coregionalization and cokriging -- Disjunctive kriging -- Stochastic simulation -- Appendix A -- Appendix B -- References -- Index.

'Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes--such as the distribution of pollution--vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited.'--EBL choice.

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