This tutorial will go through the basic steps that are implemented within rayshaderanimate. The main functionality of the package is animating a GPX line on a 3d shade of an elevation profile.
Thus the tutorial will
Reading in a GPX file is handled by the plotKML::readGPX
function. It is automatically loaded by rayshaderanimate
and used inside the get_table_from_gpx
function. From this table the boundaries of the GPX file will be read in a standard bbox
format as used e.g. by ggmap
and in a second format used for receiving data from Arcgis.
## Loading required package: rayshader
## Warning in rgl.init(initValue, onlyNULL): RGL: unable to open X11 display
## Warning: 'rgl_init' failed, running with rgl.useNULL = TRUE
## Loading required package: ggplot2
## Registered S3 method overwritten by 'xts':
## method from
## as.zoo.xts zoo
## Calculating distances may take a while.
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To see if the right bbox was calculated, you can use the bbox_map
function to simply double check the location. In this case you should see a map of the French alps around Alpe d’Huez.
bbox_map(bbox)
## Source : http://tile.stamen.com/terrain/13/4233/2943.png
## Source : http://tile.stamen.com/terrain/13/4234/2943.png
## Source : http://tile.stamen.com/terrain/13/4235/2943.png
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The elevaton data will be received from SRTM. As SRTM provides only 5 degree x 5 degree sectors, the data is filtered for the bbox
. Afterwards this data can be converted into a long format to use it in ggplot or into a matrix without any labels that can easily be used in standard rayshader functions.
el_mat <- bbox %>% get_elevdata_from_bbox()
# Use data from EUDEM project available at: https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1
el_mat <- get_elevdata_from_bbox(bbox = bbox, type ="EUDEM", file = "eu_dem_v11_E40N20/eu_dem_v11_E40N20.TIF")
data(el_mat) # load pre-stored data
elmat_rayshade <- el_mat %>% unlabel_elevdata()
elmat_long <- get_elevdata_long(el_mat)
To double check the data is the right elevation data, it will be plotted. You should see the shades of mountains where you would expect them.
# in case of EUDEM data you might need to transpose the elmat_rayshade
plot_2d_elevdata(elevdata_rayshade = elmat_rayshade)
The most important step of this package is the generation of a 3D video. The video generation works the following way:
geom_tile
plot is generated from the elevation dataplot_gg
from rayshader.The procedure is repeated number_of_screens
times. In each step the GPX line is painted a bit further.
The main length of the line is calculated such that the intervals between snapshots have a similar time difference to generate a movie feeling.
On more than 50 screens the animation will look from different angles and different zooms on the 3D model.
All snapshots get rendered into a gif
by the magick package or into a mp4
by ffmpeg
. Therefore ffmpeg
needs to be installed and inside the PATH
.
output_gif <- video_animation(gpx_table = gpx_table, elevdata_long = elmat_long, make_gif = TRUE, number_of_screens = 4,
output_file_loc = tempfile(fileext = ".gif"))
Sys.setenv("PATH" = paste0(Sys.getenv("PATH"), ";", "<Where is ffmpeg>"))
output_vid <- video_animation(gpx_table = gpx_table, elevdata_long = elmat_long, make_gif = FALSE, number_of_screens = 6,
output_file_loc = tempfile(fileext = ".mp4"))