LIES of omission: complex observation processes in ecology.
Trends Ecol Evol
; 39(4): 368-380, 2024 Apr.
Article
en En
| MEDLINE
| ID: mdl-37949794
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.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Proyectos de Investigación
/
Ecología
Idioma:
En
Revista:
Trends Ecol Evol
Año:
2024
Tipo del documento:
Article