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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")
::install_github("marcosci/layer") remotes
This is a basic example which shows you how to solve a common problem:
library(layer)
<- tilt_map(landscape_1)
tilt_landscape_1 <- tilt_map(landscape_2, x_shift = 25, y_shift = 50)
tilt_landscape_2 <- tilt_map(landscape_3, x_shift = 50, y_shift = 100)
tilt_landscape_3 <- tilt_map(landscape_points, x_shift = 75, y_shift = 150)
tilt_landscape_points
<- list(tilt_landscape_1, tilt_landscape_2, tilt_landscape_3, tilt_landscape_points)
map_list
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_map(dem_usa, y_tilt = 3)
tilt_landscape_1 <- tilt_map(drought_usa, y_tilt = 3, x_shift = 15, y_shift = 25)
tilt_landscape_2 <- tilt_map(prec_usa, y_tilt = 3, x_shift = 30, y_shift = 50)
tilt_landscape_3 <- tilt_map(fire_usa, y_tilt = 3, x_shift = 45, y_shift = 65)
tilt_landscape_4
<- list(tilt_landscape_1, tilt_landscape_2, tilt_landscape_3, tilt_landscape_4)
map_list
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.