The goal of layer
is to simplify the whole process of creating stacked
tilted maps, that are often used in scientific publications to show
different environmental layers for a geographical region. Tilting maps
and layering them allows to easily draw visual correlations between
these environmental layers.
Something in the line of:
You can install the development version of layer from GitHub with:
# install.packages("remotes")
remotes::install_github("marcosci/layer")
This is a basic example which shows you how to solve a common problem:
library(layer)
tilt_landscape_1 <- tilt_map(landscape_1)
tilt_landscape_2 <- tilt_map(landscape_2, x_shift = 25, y_shift = 50)
tilt_landscape_3 <- tilt_map(landscape_3, x_shift = 50, y_shift = 100)
tilt_landscape_points <- tilt_map(landscape_points, x_shift = 75, y_shift = 150)
map_list <- list(tilt_landscape_1, tilt_landscape_2, tilt_landscape_3, tilt_landscape_points)
plot_tiltedmaps(map_list,
layer = c("value", "value", "value", NA),
palette = c("bilbao", "mako", "rocket", NA),
color = "grey40")
Some more realistic looking data (DEM, drought, precipitation, and wildfires for continental USA):
tilt_landscape_1 <- tilt_map(dem_usa, y_tilt = 3)
tilt_landscape_2 <- tilt_map(drought_usa, y_tilt = 3, x_shift = 15, y_shift = 25)
tilt_landscape_3 <- tilt_map(prec_usa, y_tilt = 3, x_shift = 30, y_shift = 50)
tilt_landscape_4 <- tilt_map(fire_usa, y_tilt = 3, x_shift = 45, y_shift = 65)
map_list <- list(tilt_landscape_1, tilt_landscape_2, tilt_landscape_3, tilt_landscape_4)
plot_tiltedmaps(map_list, palette = c("tofino", "rocket", "mako", "magma"), direction = c(-1, 1, 1, 1))
Please note that the layer
project is released with a Contributor
Code of
Conduct.
By contributing to this project, you agree to abide by its terms.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.