Francisco Rodriguez-Sanchez Pakillo

## Using {biscale} to plot bivariate raster maps

library(ggplot2)
library(biscale)
library(cowplot)
library(raster)
#> Loading required package: sp

	release_bullets <- function() {

	c(
	"Run `goodpractice::gp()`",
	"Run `extrachecks::extrachecks()` from https://github.com/JosiahParry/extrachecks"
	"`devtools::release()`"
	)

	}

	library(usethis)

	create_package("templateRpackage")

	## Use git & create repo on GitHub
	use_git()
	use_github(organisation = "EcologyR")


	## Create README

	# Install R latest version: https://cloud.r-project.org/

	# Install RStudio latest version: https://www.rstudio.com/products/rstudio/download/#download

	# Install R packages below:

	install.packages("remotes")
	install.packages("rmarkdown")
	install.packages("rticles")
	# remotes::install_github("Pakillo/rmdTemplates") # optional


	library(sf)
	library(terra)

	## Define area
	coords <- data.frame(x = c(-5.5, -5.5, -5.3, -5.3),
	y = c(36.7, 36.8, 36.7, 36.8))
	coords.sf <- st_as_sf(coords, coords = c("x", "y"), crs = 4326)

	## Download elevation data

	# Install R latest version: https://cloud.r-project.org/
	# For installing R on Linux, check out https://docs.rstudio.com/resources/install-r/
	# Instructions: https://moderndive.netlify.app/1-getting-started.html

	# Install RStudio latest version: https://www.rstudio.com/products/rstudio/download/#download

	# Open RStudio and install some R packages using the code below:

	install.packages(c(
	"tidyverse",