Find Pacific Herring spawn sites in a given area. In this analysis, we summarise spawns by year and Location in tonnes (t). Alternatively, users can choose to summarise spawns by Location only (i.e., aggregate spawns over years). Users can view spawns as a figure and as a table, both of which can be downloaded. For more information on Pacific Herring spawn data, contact Jaclyn Cleary, Matthew Grinnell, or Matt Thompson, DFO Science, Pacific Biological Station. (Grinnell et al. 2023) has details on how we calculate the Pacific Herring spawn index. Note that the 'spawn index' is not scaled by the spawn survey scaling parameter q (CSAS 2018); therefore it is a relative index of spawning biomass.
FIND (FIND Is Not Difficult) is a Shiny app.
Launch the app in a few simple steps.
First, install RStudio or R.
Second, install the R package "shiny" install.packages(pkgs = "shiny")
.
Finally, launch FIND in one of two ways (the first option is easier):
- Run the following command in the R console
shiny::runGitHub(repo = "FIND", username = "grinnellm")
, or - Clone or download the FIND repository from GitHub, and then either
- Click "Run App" in RStudio, or
- Run the following command in the R console
shiny::runApp()
.