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Zusatztext "The book is written in a very educational style with a practical lay-out allowing easy access. Every chapter is introduced by a box overviewing its key points and most contain practical worked examples using real-world data. A sample data set is also provided. Most of the material discussed is backed-up by previously published papers by the authors and hence extra information is available if needed. The book clearly achieves its objective. It is highly recommended to all researchers whohave to sample and find the standard text books too complicated. It is also a perfect book for students in many disciplines."-Marc Van Meirvenne! Ghent University Informationen zum Autor Richard Webster is a Lawes Trust Senior Fellow at Rothamsted Research! Harpenden! UK! and former Editor-in-Chief of the European Journal of Soil Science. He is author of one book and co-author of two others on applied statistics. Murray Lark is an Environmental Statistician at the British Geological Survey! Nottingham! UK. Klappentext "Simultaneously published in the USA and Canada"--T.p. verso. "The book is written in a very educational style with a practical lay-out allowing easy access. Every chapter is introduced by a box overviewing its key points and most contain practical worked examples using real-world data. A sample data set is also provided. Most of the material discussed is backed-up by previously published papers by the authors and hence extra information is available if needed. The book clearly achieves its objective. It is highly recommended to all researchers whohave to sample and find the standard text books too complicated. It is also a perfect book for students in many disciplines."-Marc Van Meirvenne, Ghent University Zusammenfassung Scientists and consultants need to estimate and map properties of the terrestrial environment. This book provides guidance on the design and analysis of sampling methods, backed by sound rationale and statistical theory, with a focus on the design and analysis of sampling methods – if their conclusions and recommendations are to be valid. Inhaltsverzeichnis 1. Introduction. 2.Aims and Concepts. 3.Simple Random Sampling. 4. Efficiency! Economy and Logistics. 5. Prediction from Spatial Classifications. 6. Sampling from Designed Experiments. 7. Sampling for Regression and Calibration. 8. Nested Sampling and Analysis. 9. Geostatistics - Model-based Prediction ...
