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LIES of omission : complex observation processes in ecology
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dc.contributor.author | Chadwick, Fergus J | |
dc.contributor.author | Haydon, Daniel T | |
dc.contributor.author | Husmeier, Dirk | |
dc.contributor.author | Ovaskainen, Otso | |
dc.contributor.author | Matthiopoulos, Jason | |
dc.date.accessioned | 2024-04-12T12:40:22Z | |
dc.date.available | 2024-04-12T12:40:22Z | |
dc.date.issued | 2024-04 | |
dc.identifier | 297562368 | |
dc.identifier | f92bf32f-4693-4b98-9e0c-e8bbf5884cde | |
dc.identifier | 37949794 | |
dc.identifier | 85176451080 | |
dc.identifier.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 | en |
dc.identifier.issn | 0169-5347 | |
dc.identifier.other | Jisc: 1519267 | |
dc.identifier.other | pii: S0169-5347(23)00276-8 | |
dc.identifier.uri | https://hdl.handle.net/10023/29650 | |
dc.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). | en |
dc.description.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. | |
dc.format.extent | 13 | |
dc.format.extent | 1189273 | |
dc.language.iso | eng | |
dc.relation.ispartof | Trends in Ecology and Evolution | en |
dc.subject | Non-transferability | en |
dc.subject | Latency | en |
dc.subject | Effort | en |
dc.subject | Scale | en |
dc.subject | Identifiability | en |
dc.subject | Q Science | en |
dc.subject.lcc | Q | en |
dc.title | LIES of omission : complex observation processes in ecology | en |
dc.type | Journal item | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.contributor.institution | University of St Andrews. Statistics | en |
dc.identifier.doi | https://doi.org/10.1016/j.tree.2023.10.009 | |
dc.description.status | Peer reviewed | en |
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