env.qmd

---
title: "Environment"
subtitle: "Extract environmental predictors (static and/or dynamic) from various sources for observations (presence and pseudo-absence)"
---

Environmental data are used to fit the model and predict distribution onto the seascape, e.g. @tbl-Roberts2016-env.

```{r}
#| label: tbl-Roberts2016-env
#| tbl-cap: "Example of environmental predictors from Roberts et al. [-@roberts2016]."
#| results: asis

librarian::shelf(
  here, knitr, readr)
library(here)
library(knitr)
library(readr)

d <- read_csv(
  here("data/Roberts-2016_env-predictors.csv"),
  show_col_types = F)

options(knitr.kable.NA = '')
kable(d, format="pipe")
```

### Physiographic

-   `depth`\
    Bathymetric Depth

-   `d2coast`\
    Distance to Coast

-   `d2shelf`\
    Distance to Shelf

### Time Varying

-   `vgpm`\
    Vertically integrated primary Productivity model

### Depth & Time Varying

-   `temp`\
    Temperature, either sea-surface temperature (SST) or some modeled product from HyCOM, ROMS or Copernicus

-   `salin`\
    Salinity