ISBN : 9781032193854
Author : Dick J. Brus
Publisher : CRC
Year : 2022
Language : English
Type : Book
Description : 1st Edition Spatial Sampling with R By Dick J. Brus Copyright 2022 ISBN 9781032193854 548 Pages 180 Color Illustrations Published September 26, 2022 by Chapman & Hall Request Inspection Copy Thailand Flag Free Shipping (14-21 Business Days) shipping options Hardback Original Price£99.99 Sale PriceGBP £79.99 QTY 1 Description 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 features Describes classical, basic sampling designs for spatial survey, as well as recently developed, advanced sampling designs and estimators Presents probability sampling designs for estimating parameters for a (sub)population, as well as non-probability sampling designs for mapping Gives comprehensive overview of model-assisted estimators Covers Bayesian approach to sampling design Illustrates sampling designs with surveys of soil organic carbon, above-ground biomass, air temperature, opium poppy Explains integration of wall-to-wall data sets (e.g. remote sensing images) and sample data Data and R code available on github Exercises added making the book suitable as a textbook for students The 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. Table of Contents 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