The slopes R package calculates the slope (longitudinal steepness, also known as gradient) of roads, rivers and other linear (simple) features, based on two main inputs:
- vector
linestring geometries defined by classes in the
sf
package - raster
objects with pixel values reporting average height, commonly known
as digital elevation model (DEM) datasets, defined by classes in
the
raster
or more recentterra
packages
Data on slopes are useful in many fields of research, including
hydrology, natural
hazards (including
flooding
and landslide risk
management),
recreational and competitive sports such as
cycling,
hiking, and
skiing.
Slopes are also also important in some branches of transport and
emissions
modelling
and ecology. See the
intro-to-slopes
vignette
for details on fields using slope data and the need for this package.
This README covers installation and basic usage. For more information about slopes and how to use the package to calculate them, see the get started and the introducion to slopes vignette.
The package takes two main types of input data for slope calculation: - vector geographic objects representing linear features, and - elevation values from a digital elevation model representing a continuous terrain surface or which can be downloaded using functionality in the package
The package can be used with two sources of elevation data: - openly available elevation data via an interface to the ceramic package, enabling estimation of hilliness for routes anywhere worldwide even when local elevation data is lacking. The package takes geographic lines objects and returns elevation data per vertex (providing the output as a 3D point geometry in the sf package by default) and per line feature (providing average gradient by default). - an elevation model, available on your machine.
Install the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("ropensci/slopes")
If you do not already have DEM data and want to make use of the
package’s ability to download them using the ceramic
package, install
the package with suggested dependencies, as follows:
# install.packages("remotes")
remotes::install_github("ropensci/slopes", dependencies = "Suggests")
Furthermore, you will need to add a MapBox API key to be able to get DEM datasets, by signing up and registering for a key at https://account.mapbox.com/access-tokens/ and then following these steps:
usethis::edit_r_environ()
MAPBOX_API_KEY=xxxxx # replace XXX with your api key
Load the package in the usual way. We will also load the sf
library:
library(slopes)
library(sf)
The minimum input data requirement for using the package is an sf
object containing LINESTRING geometries, as illustrated below (requires
a MapBox API key):
sf_linestring = lisbon_route # import or load a linestring object
sf_linestring_xyz = elevation_add(sf_linestring) # dem = NULL
#> Loading required namespace: ceramic
#> Preparing to download: 12 tiles at zoom = 12 from
#> https://api.mapbox.com/v4/mapbox.terrain-rgb/
With the default argument dem = NULL
, the function downloads the
necessary elevation information from Mapbox. You can also this use a
local digital elevation model (dem = ...
), as shown in the example
below:
sf_linestring_xyz_local = elevation_add(sf_linestring, dem = dem_lisbon_raster)
In both cases you can obtain the average gradient of the linestring with
slope_xyz()
and plot the elevation profile with plot_slope()
as
follows:
slope_xyz(sf_linestring_xyz_local)
#> 1
#> 0.07817098
plot_slope(sf_linestring_xyz_local)
See more functions in Get started vignette.
- Get started
- An introduction to slopes
- Reproducible example: gradients of a road network for a given city
- Verification of slopes
- Benchmarking slopes calculation
Please note that this package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.