Tilt your Maps and Turn Them into 'ggplot' Plots.

layer

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:

Installation

You can install the development version of layer from GitHub with:

# install.packages("remotes")
remotes::install_github("marcosci/layer")

Example

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")

More advanced example

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))

Code of Conduct

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.