Comprehensive overview of classical and advanced spatial sampling designs for survey and monitoring
Step-by-step R code and exercises for implementing sampling designs and estimating parameters
Covers both probability and non-probability sampling methods for subpopulation and space-time parameters
Illustrates Bayesian approach to sampling design and integration of remote sensing and sample data
Includes real-world case studies such as soil organic carbon and opium poppy surveys
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Format: Paperback / softback Length: 534 pages Publication date: 23 July 2026 Publisher: Taylor & Francis Ltd
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