Sampling for soil survey

D.J. Brus

doi:10.1016/B978-0-12-822974-3.00060-4

Sampling for soil survey

D.J. Brus^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › Academic

Abstract

A sound sampling design is essential for the collection of data to support reliable scientific inference and decision making for management and policy. What counts as a sound design depends on the problem of interest, and the nature of the statistical inference that is required. Two broad aims can be distinguished, estimating the mean or total of a population or several subpopulations and mapping. For estimating (sub)population means or totals probability sampling and design-based or model-assisted estimation is most appropriate, whereas for mapping probability sampling is not required and there is scope to optimize the sampling pattern.

Original language	English
Title of host publication	Encyclopedia of Soils in the Environment
Editors	Michael J. Goss, Margaret Oliver
Publisher	Elsevier
Pages	535-550
Number of pages	16
Volume	4
Edition	2
ISBN (Electronic)	9780128229743
ISBN (Print)	9780323951333
DOIs	https://doi.org/10.1016/B978-0-12-822974-3.00060-4
Publication status	Published - 2023

Keywords

Bayesian approach
Design-based estimation
Geometric sampling design
Geostatistics
Horvitz-Thompson estimator
Model-assisted estimation
Model-based sampling
Probability sampling
Sample size determination
Soil

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10.1016/B978-0-12-822974-3.00060-4

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title = "Sampling for soil survey",

abstract = "A sound sampling design is essential for the collection of data to support reliable scientific inference and decision making for management and policy. What counts as a sound design depends on the problem of interest, and the nature of the statistical inference that is required. Two broad aims can be distinguished, estimating the mean or total of a population or several subpopulations and mapping. For estimating (sub)population means or totals probability sampling and design-based or model-assisted estimation is most appropriate, whereas for mapping probability sampling is not required and there is scope to optimize the sampling pattern.",

keywords = "Bayesian approach, Design-based estimation, Geometric sampling design, Geostatistics, Horvitz-Thompson estimator, Model-assisted estimation, Model-based sampling, Probability sampling, Sample size determination, Soil",

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AB - A sound sampling design is essential for the collection of data to support reliable scientific inference and decision making for management and policy. What counts as a sound design depends on the problem of interest, and the nature of the statistical inference that is required. Two broad aims can be distinguished, estimating the mean or total of a population or several subpopulations and mapping. For estimating (sub)population means or totals probability sampling and design-based or model-assisted estimation is most appropriate, whereas for mapping probability sampling is not required and there is scope to optimize the sampling pattern.

KW - Bayesian approach

KW - Design-based estimation

KW - Geometric sampling design

KW - Geostatistics

KW - Horvitz-Thompson estimator

KW - Model-assisted estimation

KW - Model-based sampling

KW - Probability sampling

KW - Sample size determination

KW - Soil

U2 - 10.1016/B978-0-12-822974-3.00060-4

DO - 10.1016/B978-0-12-822974-3.00060-4

M3 - Entry for encyclopedia/dictionary

AN - SCOPUS:85191927531

SN - 9780323951333

VL - 4

SP - 535

EP - 550

BT - Encyclopedia of Soils in the Environment

A2 - Goss, Michael J.

A2 - Oliver, Margaret

PB - Elsevier

ER -

Sampling for soil survey

Abstract

Keywords

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