A comparison of design‐based and model‐based approaches for finite population spatial sampling and inference-Reference-Cited by-同舟云学术

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A comparison of design‐based and model‐based approaches for finite population spatial sampling and inference

Published:2022-06-29 Issue:9 Volume:13 Page:2018-2029
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Dumelle Michael¹^ORCID,Higham Matt²,Ver Hoef Jay M.³^ORCID,Olsen Anthony R.¹,Madsen Lisa⁴

Affiliation:

1. United States Environmental Protection Agency Corvallis OR USA

2. St. Lawrence University Department of Mathematics, Computer Science, and Statistics Canton NY USA

3. Marine Mammal Laboratory, Alaska Fisheries Science Center National Oceanic and Atmospheric Administration Seattle WA USA

4. Oregon State University Department of Statistics Corvallis OR USA

Funder

National Oceanic and Atmospheric Administration

U.S. Environmental Protection Agency

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13919

Reference49 articles.

1. A new look at the statistical model identification

2. Sampling properties of spatial total estimators under tessellation stratified designs

3. A spatially balanced design with probability function proportional to the within sample distance

4. Spatially Balanced Sampling: A Review and A Reappraisal

5. Generalized linear mixed models: a practical guide for ecology and evolution

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