Preface
Chapter 1 Introduction
Chapter 2 Introduction to probability sampling
Chapter 3 Simple random sampling
Chapter 4 Stratified simple random sampling
Chapter 5 Systematic random sampling
Chapter 6 Cluster random sampling
Chapter 7 Two-stage cluster random sampling
Chapter 8 Sampling with probabilities proportional to size
Chapter 9 Balanced and well-spread sampling
Chapter 10 Model-assisted estimation
Chapter 11 Two-phase random sampling
Chapter 12 Computing the required sample size
Chapter 13 Model-based optimisation of probability sampling designs
Chapter 14 Sampling for estimating parameters of (small) domains
Chapter 15 Repeated sample surveys for monitoring population parameters
Chapter 16 Introduction to sampling for mapping
Chapter 17 Regular grid and spatial coverage sampling
Chapter 18 Covariate space coverage sampling
Chapter 19 Conditioned Latin hypercube sampling
Chapter 20 Spatial response surface sampling
Chapter 21 Introduction to kriging
Chapter 22 Model-based optimisation of the grid spacing
Chapter 23 Model-based optimisation of the sampling pattern
Chapter 24 Sampling for estimating the semivariogram
Chapter 25 Sampling for validation of maps
Chapter 26 Design-based, model-based, and model-assisted approach for sampling and inference
Answers to Exercises
Bibliography
Index
Biography
Dick J. Brus worked as a researcher and statistics teacher at the Wageningen University and Research (Netherlands) for 38 years. His main fields of interest are sampling theory and geostatistics. He has gathered rich research experience in developing and applying statistical methods for natural resources inventory and monitoring. In 2015, he was appointed Adjunct Professor at Nanjing Normal University, Nanjing, China. He has published about 100 papers in peer-reviewed, international journals. He is second co-author of the book 'Sampling for Natural Resource Monitoring', published in 2006 by Springer. This book is widely acclaimed in soil, earth, environmental, agricultural and statistical science. Since January 1, 2022 he is retired and lives a joyful life in the countryside, where he grows vegetables in the garden, goes on cycling tours and sings in a choir. Every now and then, during rainy days, he works as a private contractor for the sole proprietorship Spatial Sampling registered with the Chamber of Commerce in the Netherlands.
"What makes this book different is the level of detail at which sensitive issues on spatial sampling designs provided by the specialized literature are discussed and the strong way in which the author constructs his arguments. Dick J. Brus proposes a valuable book, equally complex and accessible, a practical grounded resource for researchers, master and doctoral students interested in spatial sampling problems, sampling designs, and subsequent inferences."
~Anca Vitcu, ISCB Book Reviews"The theory is accessible and well presented. The book is rich in examples based on real applications, and when discussing implementation, guidelines on which methods could be more suited in terms of computing time are presented, which can be useful. Additionally, exercises are provided at the end of sections and of chapters, together with solutions at the end of the book, which could be helpful if the book were used as textbook. We think the strength of the book is surely the software implementation part: accessible R code is
provided to replicate the examples, the scripts are freely available on GitHub, and, more importantly, the code is well explained, and functions and packages are described."
~Francesco Pantalone & Roberto Benedetti (11 Nov 2024), The American Statistician
