LIES of omission : complex observation processes in ecology
Date
04/2024Metadata
Show full item recordAbstract
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.
Citation
Chadwick , F J , Haydon , D T , Husmeier , D , Ovaskainen , O & Matthiopoulos , J 2024 , ' LIES of omission : complex observation processes in ecology ' , Trends in Ecology and Evolution , vol. 39 , no. 4 , pp. 368-380 . https://doi.org/10.1016/j.tree.2023.10.009
Publication
Trends in Ecology and Evolution
Status
Peer reviewed
ISSN
0169-5347Type
Journal item
Description
Funding: This work was completed as part of F.J.C.’s PhD funded by the Engineering and Physical Sciences Research Council (EPSRC) (EP/R513222/1) and the support of his subsequent employer, Biomathematics and Statistics Scotland (BioSS).Collections
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