Bokus
Dick J. Brus - Spatial Sampling with R, Inbunden

Inbunden, Engelska, 2022

Spatial Sampling with R

Av Dick J. Brus

Del i serien Chapman & Hall/CRC The R Series

2126 kr

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Beskrivning
Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for their aim. One reason is that sampling is frequently overlooked in statistics courses. Another reason is the lack of practical textbooks on sampling. Numerous books have been published on the statistical analysis and modelling of data using R, but to date no book has been published in this series on how these data can best be collected. This book fills this gap. Spatial Sampling with R presents an overview of sampling designs for spatial sample survey and monitoring. It shows how to implement the sampling designs and how to estimate (sub)population- and space-time parameters in R.Key featuresDescribes classical, basic sampling designs for spatial survey, as well as recently developed, advanced sampling designs and estimatorsPresents probability sampling designs for estimating parameters for a (sub)population, as well as non-probability sampling designs for mappingGives comprehensive overview of model-assisted estimatorsCovers Bayesian approach to sampling designIllustrates sampling designs with surveys of soil organic carbon, above-ground biomass, air temperature, opium poppyExplains integration of wall-to-wall data sets (e.g. remote sensing images) and sample dataData and R code available on githubExercises added making the book suitable as a textbook for studentsThe target group of this book are researchers and practitioners of sample surveys, as well as students in environmental, ecological, agricultural science or any other science in which knowledge about a population of interest is collected through spatial sampling. This book helps to implement proper sampling designs, tailored to their problems at hand, so that valuable data are collected that can be used to answer the research questions.
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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.

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"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 isprovided 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

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