Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/pbs-assess/gfcommercial

Groundfish Commercial Biosampling Compendium
https://github.com/pbs-assess/gfcommercial

Last synced: 3 days ago
JSON representation

Groundfish Commercial Biosampling Compendium

Awesome Lists containing this project

README

        

# gfcommercial
A review of biological samples collected from commercial groundfish fisheries in British Columbia, 1996-2022

## Overview
This commercial biosampling compendium uses an automated workflow to generate
figure and text summaries of groundfish commercial biosampling in British
Columbia, Canada. Figure and text summaries are then formatted as a CSAS
Technical Report using the R package [csasdown](https://github.com/pbs-assess/csasdown).
The content is nearing completion in July 2024.

## Dependencies
Most packages can be installed from CRAN, but some need special installation:

```{r}
# install.packages("remotes")
remotes::install_github("pbs-assess/gfdata")
remotes::install_github("pbs-assess/gfplot")
remotes::install_github("pbs-assess/csasdown")
```

## Use
All the `.Rmd` files used to create the tech report are found in the
report/report-rmd/ folder.

The `make.R` script (found in the report/ folder) contains all the code to create
the species specific pages. This script pulls data from the databases, creates
the figures (and writes them to the report/report-rmd/figs/ folder),
and generates the `05-plot-pages.Rmd` file.

To render the report, open `index.Rmd` in RStudio and then click the knit button.

## Output
The `csasdown` package writes the tech report to the report/report-rmd/_book/
folder.

## Notes and Cautions
- Please note that "sample" should refer to the collection of specimens taken in a sampling event, while "specimen" should refer to an individual fish.