The OpenStreetMap
database provides a wide range of highly detailed geographic layers on a
global scale. To obtain synthetic information for cartographic purposes,
layers must be selected, simplified, merged, or modified.
maposm downloads OpenStreetMap extracts and performs these
operations to create a set of composite layers of urban areas,
buildings, green spaces, main roads, secondary roads, railways, and
water bodies.
You can install maposm from the r-universe.
install.packages('maposm', repos = c('https://riatelab.r-universe.dev', 'https://cloud.r-project.org'))om_get() is used to download, merge and simplify the
geographic layers.
om_map() is used to map the layers.
library(maposm)
#> Data © OpenStreetMap contributors, ODbL 1.0. https://www.openstreetmap.org/copyright.
#> Maps based on OpenStreetMap data should cite "© OpenStreetMap contributors" as the data source.
f2f = om_get(x = c(-61.070, 14.605), r = 600)
#> # Download the OpenStreetMap file
#> The input place and the radius matched the sample dataset.
#> Skip download and data extraction.
#>
#> # Create map layers
#> - green spaces
#> - buildings
#> - urban areas
#> - roads
#> - streets
#> - railways
#> - water bodies
#>
#> Done!
om_map(x = f2f, title = "Fort-de-France, Martinique", theme = "light")
Several themes are available to map the layers (“light”, “dark”, “grey” and “pizza”).
om_map(x = f2f, title = "Fort-de-France, Martinique", theme = "grey")
You can also use your prefered library to map the layers.
library(mapsf)
mf_map(f2f$zone, col = "#f2efe9", border = NA, add = FALSE)
mf_map(f2f$urban, col = "#e0dfdf", border = "#e0dfdf", lwd = .5, add = TRUE)
mf_map(f2f$green, col = "#c8facc", border = "#c8facc", lwd = .5, add = TRUE)
mf_map(f2f$water, col = "#aad3df", border = "#aad3df", lwd = .5, add = TRUE)
mf_map(f2f$railway, col = "grey50", lty = 2, lwd = .2, add = TRUE)
mf_map(f2f$street, col = "white", border = "white", lwd = .5, add = TRUE)
mf_map(f2f$road, col = "#f7fabf", border = "#f7fabf", lwd = .5, add = TRUE)
mf_map(f2f$building, col = "#d9d0c9", border = "#c6bab1", lwd = .5, add = TRUE)
mf_map(f2f$zone, col = NA, border = "#c6bab1", lwd = 4, add = TRUE)
mf_credits(txt = "\ua9 OpenStreetMap contributors")
mf_scale(size = 100, scale_units = "m")
mf_title("Fort-de-France, Martinique")
om_write() can be used to write the layers to a
geopackage file.
om_read() can be used to read these geopackages.
# save
om_write(x = f2f, filename = "f2f.gpkg")
# import
om_read(x = "f2f.gpkg")osmdata to
access to OSM data through the overpass APIosmplotr
from the author of osmdataosmextract
for large extracts from OSMprettymaps
is a full featured Python librarymapBliss
to plot flight paths and road trips on OSM mapmaptiles to
download (raster) OSM map tilescartographr
to plot OSM layers using ggplot2rcityviews
to map cities, it has a shiny interfaceOne can contribute to the package through pull requests and report issues or ask questions here. This project uses conventional commits and semantic versioning.