Von allen, die sich wissenschaftlich mit Umwelt befassen, werden immer häufiger geostatistische Analysen zur Lösung von Umweltproblemen verlangt. Bisher gab es zu dieser Problematik kein umfassendes Werk. Da die Umweltprobleme immer drängender werden (Verschmutzung, der Raubbau der Bodenschätze) und die Lösung dieser Probleme immer teurer, ist die Notwendigkeit einer brauchbaren statistischen Analyse von großer Bedeutung.
Dieses Buch ist eine Einführung und ein kompaktes Handbuch über die statischen Methoden und Modelltechniken, die für alle Umweltwissenschaftler äußerst nützlich sind. Ausgehend von einem recht elementaren Niveau führt dieses Werk weiter zu höheren Techniken wie multivariater und nichtlinearer Geostatistik. Für jede Methode wird ausreichend Grundtheorie zur Verfügung gestellt, damit der Leser deren Voraussetzungen und Beschränkungen einschätzen kann. Es enthält zudem zahlreiche Beispiele und Fallstudien.
Geostatistics is essential for modern 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 to plan future surveys when resources are limited.
* Concise but comprehensive introduction to the latest statistical techniques
* Strong emphasis on practical applications throughout
* Illustrated with worked examples from soil surveys
* Coverage of more advanced topics, such as multivariate analysis
* Contains a step-by-step summary of the procedure needed to analyse survey data
Sampling, data screening, spatial covariances, the variogram and its modelling, 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.
Environmental scentists will find this text an invaluable guide to geostatistics, and the lucid style will suit the needs of advanced undergraduates and graduate students of spatial variation and environmental science.
"It is a pleasure to read, both for style and for the quality of production. I would certainly recommend it." (European Journal of Soil Science, No.52, 2001)
"...has an excellent focus and an effective organization...a great book for any statistician who works with environmental data..." (Technometrics, Vol. 43, No. 4, November 2001)
"an invaluable reference" (Geoderma)
"Presents methods of linear geostatistics primarily using least-squares estimation that can assist scientists struggling with sparse data for prediction and planning future surveys when resources are limited." (SciTech Book News, Vol. 25, No. 4, December 2001)
"...this well-written and thorough book must surely make the learning process easier for environmental scientists..." (Short Book Reviews, Vol. 21, No. 3, December 2001)
"...an excellent monograph..." (Zentralblatt MATH, Vol. 963, 2001/13)
"a clear introduction...recommended for library purchase" (Geoscientist, April 2002)
Preface.
Series Preface.
Introduction.
Basic Statistics.
Prediction and Interpolation.
Characterizing Spatial Processes: The Covariance and Variogram.
Estimating the Variogram.
Modelling the Variogram.
Spectral Analysis.
Local Estimation or Prediction: Kriging.
Cross-Correlation, Coregionalization and Cokriging.
Disjunctive Kriging.
Appendix A: Aide-Mémoire for Spatial Analysis.
Appendix B: Genstat Instructions for Analysis.
References.
Index.
Dieses Buch ist eine Einführung und ein kompaktes Handbuch über die statischen Methoden und Modelltechniken, die für alle Umweltwissenschaftler äußerst nützlich sind. Ausgehend von einem recht elementaren Niveau führt dieses Werk weiter zu höheren Techniken wie multivariater und nichtlinearer Geostatistik. Für jede Methode wird ausreichend Grundtheorie zur Verfügung gestellt, damit der Leser deren Voraussetzungen und Beschränkungen einschätzen kann. Es enthält zudem zahlreiche Beispiele und Fallstudien.
Geostatistics is essential for modern 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 to plan future surveys when resources are limited.
* Concise but comprehensive introduction to the latest statistical techniques
* Strong emphasis on practical applications throughout
* Illustrated with worked examples from soil surveys
* Coverage of more advanced topics, such as multivariate analysis
* Contains a step-by-step summary of the procedure needed to analyse survey data
Sampling, data screening, spatial covariances, the variogram and its modelling, 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.
Environmental scentists will find this text an invaluable guide to geostatistics, and the lucid style will suit the needs of advanced undergraduates and graduate students of spatial variation and environmental science.
"It is a pleasure to read, both for style and for the quality of production. I would certainly recommend it." (European Journal of Soil Science, No.52, 2001)
"...has an excellent focus and an effective organization...a great book for any statistician who works with environmental data..." (Technometrics, Vol. 43, No. 4, November 2001)
"an invaluable reference" (Geoderma)
"Presents methods of linear geostatistics primarily using least-squares estimation that can assist scientists struggling with sparse data for prediction and planning future surveys when resources are limited." (SciTech Book News, Vol. 25, No. 4, December 2001)
"...this well-written and thorough book must surely make the learning process easier for environmental scientists..." (Short Book Reviews, Vol. 21, No. 3, December 2001)
"...an excellent monograph..." (Zentralblatt MATH, Vol. 963, 2001/13)
"a clear introduction...recommended for library purchase" (Geoscientist, April 2002)
Preface.
Series Preface.
Introduction.
Basic Statistics.
Prediction and Interpolation.
Characterizing Spatial Processes: The Covariance and Variogram.
Estimating the Variogram.
Modelling the Variogram.
Spectral Analysis.
Local Estimation or Prediction: Kriging.
Cross-Correlation, Coregionalization and Cokriging.
Disjunctive Kriging.
Appendix A: Aide-Mémoire for Spatial Analysis.
Appendix B: Genstat Instructions for Analysis.
References.
Index.
"It is a pleasure to read, both for style and for the quality of production. I would certainly recommend it." (European Journal of Soil Science, No.52, 2001)
"...has an excellent focus and an effective organization...a great book for any statistician who works with environmental data..." (Technometrics, Vol. 43, No. 4, November 2001)
"an invaluable reference" (Geoderma)
"...this well-written and thorough book must surely make the learning process easier for environmental scientists..." (Short Book Reviews, Vol. 21, No. 3, December 2001)
"...an excellent monograph..." (Zentralblatt MATH, Vol. 963, 2001/13)
"a clear introduction...recommended for library purchase" (Geoscientist, April 2002)
"...has an excellent focus and an effective organization...a great book for any statistician who works with environmental data..." (Technometrics, Vol. 43, No. 4, November 2001)
"an invaluable reference" (Geoderma)
"...this well-written and thorough book must surely make the learning process easier for environmental scientists..." (Short Book Reviews, Vol. 21, No. 3, December 2001)
"...an excellent monograph..." (Zentralblatt MATH, Vol. 963, 2001/13)
"a clear introduction...recommended for library purchase" (Geoscientist, April 2002)