Primer for archival tag data processing using R

Details

• Personal Author:
  Coutré, Karson Marie
• Corporate Authors:
  Alaska Fisheries Science Center (U.S.)
• NOAA Program & Office:
  NMFS (National Marine Fisheries Service) ; AFSC (Alaska Fisheries Science Center)
• Description:
  This report provides detailed steps for downloaded archival tag data processing in Microsoft Excel and R. Depth and temperature time series data from implanted archival tags in Greenland turbot (Reinhardtius hippoglossoides) are used as a case study. Steps outlined include formatting measurements and standardizing units and time zones. After initial error checking in Microsoft Excel, the procedures for importing, compiling, formatting, and saving data in R are described. Instructions and R code are provided to filter the data and calculate basic metrics. Code is provided to create and save data visualizations that aid in the understanding of the data, detecting patterns, and identifying errors. [doi:10.7289/V5/AFSC-PR-2017-01 (http://dx.doi.org/10.7289/V5/AFSC-PR-2017-01)]
• Content Notes:
  K. M. Coutré.
  
  "January 2017."
  
  System requirements: Adobe Acrobat Reader.
  
  Includes bibliographical references (pages 17-18).
  
  
• Keywords:
  Databases Data Processing Fisheries Fishes Fish Stock Assessment Fish Tagging Monitoring Research Data Processing Fish Stock Assessment Fish Tagging

  More +
• Series:
  AFSC processed report   2017-01
• DOI:
  http://doi.org/10.7289/V5/AFSC-PR-2017-01
• Document Type:
  Technical Report
• Place as Subject:
  Alaska
• Rights Information:
  Public Domain
• Compliance:
  Library
• Main Document Checksum:
  urn:sha256:602cdbeb31b0bd6711c130df46d9d5477422bfa60b6b524ad3d8a4d778e8f577
• Download URL:
  https://repository.library.noaa.gov/view/noaa/13200/noaa_13200_DS1.pdf
• File Type:
  [PDF - 365.49 KB ]