MargaretSiple-NOAA / goa-ai-data-reports

Automate data reports for GOA and AI surveys
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reports survey-data

goa-ai-data-reports (in progress)

Overview

GOA and AI data reports summarize data from the trawl survey each year. These reports provide detailed survey summaries for a technical audience. The scripts in this repo pull text from Google Docs, turn them into R Markdown files, and knit a report in .docx format summarizing survey data and some basic information about the survey.

General workflow

To create the Plan Team presentation draft

To create the full report

Diagram of report structure

This document is for informational purposes only and does not necessarily represent the views or official position of the Department of Commerce, the National Oceanic and Atmospheric Administration, or the National Marine Fisheries Service. Not to be cited without permission from the authors.

Structure

As of August 2024, the sections of the report are as follows:

A note about creating tables and figures

Tables "3" and "4" (CPUE and biomass by survey district and depth, and CPUE and biomass by INPFC area/stratum and depth, respectively) in 2022 were generated by Paul, saved to the G Drive, and pulled from there in this code. In the GOA 2023 report and onwards, these tables are built by the code in this repo.

A note about using summary tables vs. straight tables from RACEBASE

This report uses some summary tables from GOA, AI, and GAP_PRODUCTS schemas. You could make any of these from RACEBASE straight tables, but it is better IMO to all use the same summary tables.

Sources of the values in the species chapters:

Value Source
INPFC area with highest and second-highest estimated biomass GAP_PRODUCTS.BIOMASS
INPFC area with largest average length Calculated from RACEBASE.SPECIMEN filtered to otolith collections and averaged by species and INPFC area
Where biomass ranks relative to other species (e.g., "species X had the third largest biomass in the survey") GAP_PRODUCTS.BIOMASS

Existing documentation

There are instructions for creating the tables and figures for the GOA data report currently in G:/AI-GOA/Instructions&Procedures/Data Report. They should all be updated in this documentation but you can refer to them for historical methods etc.

Published reports produced using this code

A release is made every time this code is used to produce a Data Processed Report for submission or at publication.

Siple, M. C., von Szalay, P. G., Raring, N. W., Dowlin, A. N., & Riggle, B. C. (2024). Data Report: 2023 Gulf of Alaska bottom trawl survey. https://doi.org/10.25923/GBB1-X748

von Szalay, P. G., Raring, N. W., Siple, M. C., Dowlin, A. N., Riggle, B. C., and Laman, E. A. (2023) Data Report: 2022 Aleutian Islands bottom trawl survey. AFSC Processed Rep. 2023-07, 230 p. Alaska Fish. Sci. Cent., NOAA, Natl. Mar. Fish. Serv., 7600 Sand Point Way NE, Seattle WA 98115. https://doi.org/10.25923/85cy-g225

This code is maintained by:

Margaret Siple (margaret.siple AT noaa.gov; @MargaretSiple-NOAA)

Bethany Riggle (bethany.riggle AT noaa.gov; @bethanyriggle)

Alexandra Dowlin (alexandra.dowlin AT noaa.gov; @AlexandraDowlin-NOAA)

Ned Laman (ned.laman AT noaa.gov; @Ned-Laman-NOAA)

Alaska Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration Seattle, WA 98195

NOAA disclaimer

This repository is a software product and is not official communication of the National Oceanic and Atmospheric Administration (NOAA), or the United States Department of Commerce (DOC). All NOAA GitHub project code is provided on an 'as is' basis and the user assumes responsibility for its use. Any claims against the DOC or DOC bureaus stemming from the use of this GitHub project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation, or favoring by the DOC. The DOC seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by the DOC or the United States Government.

License

Software code created by U.S. Government employees is not subject to copyright in the United States (17 U.S.C. §105). The United States/Department of Commerce reserve all rights to seek and obtain copyright protection in countries other than the United States for Software authored in its entirety by the Department of Commerce. To this end, the Department of Commerce hereby grants to Recipient a royalty-free, nonexclusive license to use, copy, and create derivative works of the Software outside of the United States.