Geostatistics for Environmental Scientists / Statistics in Practice (PDF)
(Sprache: Englisch)
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...
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...
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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.
Geostatistical technology has advanced much in the last few
years and many of these developments are being incorporated into
the practitioner's repertoire. This second edition describes
these techniques for environmental scientists. Topics such as
stochastic simulation, sampling, data screening, spatial
covariances, the variogram and its modeling, and spatial prediction
by kriging are described in rich detail. At each stage the
underlying theory is fully explained, and the rationale behind the
choices given, allowing the reader to appreciate the assumptions
and constraints involved.
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.
Geostatistical technology has advanced much in the last few
years and many of these developments are being incorporated into
the practitioner's repertoire. This second edition describes
these techniques for environmental scientists. Topics such as
stochastic simulation, sampling, data screening, spatial
covariances, the variogram and its modeling, and spatial prediction
by kriging are described in rich detail. At each stage the
underlying theory is fully explained, and the rationale behind the
choices given, allowing the reader to appreciate the assumptions
and constraints involved.
Inhaltsverzeichnis zu „Geostatistics for Environmental Scientists / Statistics in Practice (PDF)“
Preface 1 Introduction 2 Basic Statistics 3 Prediction and Interpolation 4 Characterizing Spatial Processes: The Covariance and Variogram 5 Modelling the Variogram 6 Reliability of the Experimental Variogram and Nested Sampling 7 Spectral Analysis 8 Local Estimation or Prediction: Kriging 9 Kriging in the Presence of Trend and Factorial Kriging 10 Cross-Correlation, Coregionalization and Cokriging 11 Disjunctive Kriging 12 Stochastic Simulation (new file) Appendix A Appendix B References Index
Autoren-Porträt von Richard Webster, Margaret A. Oliver
Richard Webster, Rothamsted Research, HarpendenDr Webster is the Senior Research Fellow at Rothamsted Research.
Margaret A. Oliver, Visiting Professor, Department of Soil Science, University of Reading
Professor Oliver has taught geostatistics, applied statistics, multivariate analysis and pedology to undergraduates and postgraduates. She also established a short geostatistics course while at the University of Birmingham, which has now been taught in several countries (e.g. Sweden, USA and Mexico). She is the author of over 70 papers and two co-authored books.
Bibliographische Angaben
- Autoren: Richard Webster , Margaret A. Oliver
- 2007, 2. Auflage, 330 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470517263
- ISBN-13: 9780470517260
- Erscheinungsdatum: 22.10.2007
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