HMMoce: An R package for improved geolocation of archival‐tagged fishes using a hidden Markov method

Braun, Camrin D.; Galuardi, Benjamin; Thorrold, Simon R.

doi:10.1111/2041-210x.12959

i

HMMoce: An R package for improved geolocation of archival‐tagged fishes using a hidden Markov method

Supporting Files

2018
By Braun, Camrin D. ; Galuardi, Benjamin ; Thorrold, Simon R.

Details

Journal Title:

Methods in Ecology and Evolution
Personal Author:

Braun, Camrin D. ; Galuardi, Benjamin ; Thorrold, Simon R.
NOAA Program & Office:

GARF (Greater Atlantic Regional Fisheries) ; NMFS (National Marine Fisheries Service)
Description:

Electronic tagging of marine fishes is commonly achieved with archival tags that rely on light levels and sea surface temperatures to retrospectively estimate movements. However, methodological issues associated with light-level geolocation have constrained meaningful inference to species where it is possible to accurately estimate time of sunrise and sunset. Most studies have largely ignored the oceanographic profiles collected by the tag as a potential way to refine light-level geolocation estimates.
Keywords:

Ecological Modeling Ecology, Evolution, Behavior And Systematics Ecology, Evolution, Behavior And Systematics Ecology, Evolution, Behavior And Systematics
Source:

Methods in Ecology and Evolution, 9(5), 1212-1220
DOI:

https://doi.org/10.1111/2041-210x.12959
ISSN:

2041-210X ; 2041-210X
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
Rights Information:

Accepted Manuscript
Compliance:

Library
Main Document Checksum:

urn:sha-512:6a40575c5cc5c1945480125936470542ffbff4baed9d0a61263e79cb3dc473883b40975e1cb8ca19c33fe36dee59fb264bcdd1aab6f886a53c6a7df505ef3261
Download URL:

https://repository.library.noaa.gov/view/noaa/63027/noaa_63027_DS1.pdf
File Type:

[PDF - 592.31 KB ]

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