Reconstructing Missing and Anomalous Data Collected from High-Frequency In-Situ Sensors in Fresh Waters

In situ sensors that collect high-frequency data are used increasingly to monitor aquatic environments. These sensors are prone to technical errors, resulting in unrecorded observations and/or anomalous values that are subsequently removed and create gaps in time series data. We present a framework...

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Detalles Bibliográficos
Autores principales: Kermorvant, Claire, Liquet, Benoit, Litt, Guy, Jones, Jeremy B., Mengersen, Kerrie, Peterson, Erin E., Hyndman, Rob J., Leigh, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657025/
https://www.ncbi.nlm.nih.gov/pubmed/34886529
http://dx.doi.org/10.3390/ijerph182312803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657025/
https://www.ncbi.nlm.nih.gov/pubmed/34886529
http://dx.doi.org/10.3390/ijerph182312803

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