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)

Abstract

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
• Refereed: Yes
• 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: 0169-5347
• 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

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
305200		DTP 2018-19 University of Glasgow	Mary Beth Kneafsey	Engineering and Physical Sciences Research Council (EPSRC)	EP/R513222/1	MVLS - Education Hub