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A sample coordination method to monitor totals of environmental variables

Zhao, Xin and Grafström, Anton (2020). A sample coordination method to monitor totals of environmental variables. Environmetrics. 31 , e2625
[Journal article]

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Abstract

A new sampling strategy for design-based environmental monitoring is proposed. It has the potential to produce superior estimators for totals of environmental variables and their changes over time. In the strategy, we combine two concepts known as spatially balanced sampling and coordination of samples. Spatially balanced sampling can provide superior estimators of totals, while coordination of samples over time is often used to improve estimators of change. Compared with reference strategies, we show that the new strategy can improve the precision of the estimators of totals and their change simultaneously. A forest inventory application is used to illustrate the new strategy and the results can be summarized as (i) using auxiliary information to spread the sample can improve the estimators of totals; (ii) a positive coordination of the samples reduced the variance of the estimator of change by more than 37% compared with independent samples; and (iii) a high overlap between successive samples does not guarantee a good estimator of change. The presented strategy can be used to develop more efficient environmental monitoring programs.

Authors/Creators:Zhao, Xin and Grafström, Anton
Title:A sample coordination method to monitor totals of environmental variables
Year of publishing :2020
Volume:31
Article number:e2625
Number of Pages:14
ISSN:1180-4009
Language:English
Publication Type:Journal article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Environmental Sciences (social aspects to be 507)
(A) Swedish standard research categories 2011 > 1 Natural sciences > 101 Mathematics > 10106 Probability Theory and Statistics
Keywords:positive sample coordination, spatially balanced samples, spatially correlated Poisson sampling
URN:NBN:urn:nbn:se:slu:epsilon-p-108019
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-108019
Additional ID:
Type of IDID
DOI10.1002/env.2625
Web of Science (WoS)000567214300001
ID Code:17784
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:12 Oct 2020 13:48
Metadata Last Modified:12 Oct 2020 13:51

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