L.I.E.S. of omission: complex observation processes in ecology

Chadwick, F. J., Haydon, D. T. , Husmeier, D. , Ovaskainen, O. and Matthiopoulos, J. (2023) L.I.E.S. of omission: complex observation processes in ecology. Trends in Ecology and Evolution, (doi: 10.1016/j.tree.2023.10.009) (In Press)

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Advances in statistics mean that it is now possible to tackle increasingly sophisticated observation processes. The intricacies and ambitious scale of modern data collection techniques mean that this is now essential. Methodological research to make inference about the biological process while accounting for the observation process has expanded dramatically, but solutions are often presented in field-specific terms, limiting our ability to identify commonalities between methods. We suggest a typology of observation processes that could improve translation between fields and aid methodological synthesis. We propose the LIES framework (defining observation processes in terms of issues of Latency, Identifiability, Effort and Scale) and illustrate its use with both simple examples and more complex case studies.

Item Type:Articles
Additional Information:This work was completed as part of FJC’s PhD funded by EPSRC (EP/R513222/1) and the support of his subsequent employer, BioSS.
Keywords:Latency, identifiability, effort, scale, non-transferability.
Status:In Press
Glasgow Author(s) Enlighten ID:Chadwick, Mr Fergus and Matthiopoulos, Professor Jason and Haydon, Professor Daniel and Husmeier, Professor Dirk
Authors: Chadwick, F. J., Haydon, D. T., Husmeier, D., Ovaskainen, O., and Matthiopoulos, J.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Trends in Ecology and Evolution
Publisher:Elsevier (Cell Press)
ISSN (Online):1872-8383
Published Online:09 November 2023
Copyright Holders:Copyright © 2023 The Author(s).
First Published:First published in Trends in Ecology and Evolution 2023
Publisher Policy:Reproduced under a Creative Commons license

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
305200DTP 2018-19 University of GlasgowMary Beth KneafseyEngineering and Physical Sciences Research Council (EPSRC)EP/R513222/1MVLS - Education Hub