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CRC Press Spatial Sampling with R - Chapman & Hall/CRC Series

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£139.36 £109.26 £115.83 £122.40 £128.96 £135.53 £142.10 28 July 2026 14 August 2026 01 September 2026 19 September 2026 07 October 2026
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Description

Spatial Sampling with R addresses a critical gap in statistical education by providing practical guidance on data collection and sampling design. Written by a researcher at Wageningen University and Research, this Chapman & Hall/CRC publication tackles the often-overlooked first step of scientific research - proper sampling strategy. While numerous texts cover statistical analysis and modelling using R, this book fills the unique niche of teaching spatial sampling methodology with real-world applications. The author demonstrates how inadequate sampling approaches compromise research outcomes and provides researchers with actionable techniques to avoid suboptimal data collection. Whether you work in environmental science, ecology, agriculture, or social research, this comprehensive guide equips you with R-based tools and theoretical foundations to design effective spatial sampling strategies. Perfect for statisticians, researchers, and data scientists who recognise that robust analysis begins with sound sampling design, this book transforms an overlooked aspect of research into a practical strength.

Key Features

Written by a Wageningen University researcher with extensive experience identifying and correcting suboptimal sampling practices in real-world studies.

Focuses specifically on spatial sampling design, a topic neglected in most statistics courses and textbooks on R programming.

Provides practical, application-oriented guidance rather than theoretical abstract concepts, making spatial sampling methodology accessible to working researchers.

Part of the Chapman & Hall/CRC The R Series, ensuring alignment with current R best practices and integration with modern statistical workflows.

Addresses the foundational importance of proper data collection, helping researchers avoid collecting unsuitable or compromised datasets before statistical analysis.

Combines spatial statistics theory with hands-on R implementations for multiple research disciplines and sampling scenarios.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 September 2022
Listed Since
15 December 2021

Barcode

No barcode data available

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