#OSMData
LightNews LightNews
klauswiese.bsky.social
Día 14 – OpenStreetMap #30DayMapChallenge San Pedro Sula, Honduras. Herramientas: R usando los paquetes: sf, dplyr, ggplot2, osmdata, showtext y ggtext
November 14, 2025 at 3:17 AM
obrien.page
The @maprva.org surveillance map, ported to #Rstats using mapgl, osmdata, sf, and dplyr.

gist.github.com/mhpob/17782b...

Not 1:1 in terms of Ultra/Mapbox GL JS -> R, but pretty close!
Original query: overpass-ultra.us#query=url%3A...

cc @mackaszechno.bsky.social @kylewalker.bsky.social
October 7, 2025 at 7:09 PM
mackaszechno.bsky.social
{dodgr} urbananalyst.github.io/dodgr/index....

#rstats
library (osmdata) library(dodgr) library(mapview) dat <- opq ("shinjuku") %>% add_osm_feature (key = "railway") %>% osmdata_sf (quiet = FALSE) graph <- weight_railway (dat$osm_lines) graph |> dodgr_to_sf() |> mapview(zcol = "maxspeed")
February 14, 2026 at 9:53 PM
sofialazar.bsky.social
🌍 Mapping the heart of #Europe's iconic neighborhoods with #OSM data! 🏙️

From 🇫🇷 Paris, 🇪🇸 Seville to 🇩🇪 Berlin... I’ve extracted building footprints of legendary places and brought them to life using #Python and #OSM

Thanks to @Milan Janosov tut!

#UrbanMapping #OSMData #BuildingFootprints #Python
January 21, 2025 at 9:35 PM
klauswiese.bsky.social
Day 13 – 10 Minutes Map #30DayMapChallenge. Ten Minute Walk to BOLU, Berlin :). Tools: R usign the packages sf, osrm, ggplot2, ggspatial, dplyr, osmdata and grid.
November 23, 2025 at 9:36 PM
klauswiese.bsky.social
Día 8 – Urbano #30DayMapChallenge Urbes más importantes de América Central. Fuente: Open Street Maps. Herramienta: R usando los paquetes sf, ggplot2, osmdata, dplyr, showtext y ggtext
November 8, 2025 at 8:55 PM
klauswiese.bsky.social
Día 4 – Mis Datos #30DayMapChallenge. Catasetum integerrimum en Tegucigalpa, Honduras. Herramientas: R con los paquetes sf, ggplot2, osmdata, dplyr, showtext, ggtext, ggimage, grid y cowplot.
November 4, 2025 at 4:08 AM
klauswiese.bsky.social
Tag 20 – Wasser #30DayMapChallenge. Gewässer in Berlin. R unter Verwendung der Pakete osmdata, sf, dplyr, ggplot2, stringr, ggspatial, units und ggrepel.
November 20, 2025 at 4:54 AM
klauswiese.bsky.social
Día 7 – Accesibilidad #30DayMapChallenge. ¿Qué tan cerca estas de un Coco Baleadas?. Herramientas: R con los paquetes sf, osrm, ggplot2, ggspatial, dplyr, ggimage, RcolorBrewer, osmdata y grid.
November 10, 2025 at 5:17 AM
klauswiese.bsky.social
Día 20 – Open Street Maps #30DayMapChallenge. Densidad de Carreteras República de El Salvador.
Herramienta: R usando terra, elevatr, tidyverse, osmdata, showtext, ggtext y sf
November 20, 2024 at 10:45 PM
klauswiese.bsky.social
Día 18 – 3D
#30DayMapChallenge
. Tegucigalpa. Honduras. Herramienta: R usando rayshader, elevatr, tidyverse, osmdata, raster y sf
November 19, 2024 at 2:05 PM
mackaszechno.bsky.social
OpenStreetMap allow you to visually examine it's database before using the API for a specific request via {osmdata} etc.

Search on openstreetmap and then the area you want. Use the cursor with the question mark to query the features in the map.

#rspatial #gis
March 29, 2025 at 10:10 PM
fgazzelloni.bsky.social
#30DayMapChallenge 2023🗺️ | #Day15 | OpenStreetMap
Valéncia, ES schools and underground stations.
DataSource: {osmdata}
Tool: #R

#rspatials #rstats #datascience #maps #graphics #spatials
Valencia
November 15, 2023 at 8:06 PM
adiw1202.bsky.social
I created something similar ... also with osmdata in R
Artistic map of Back Bay - Boston using R.
July 10, 2025 at 1:12 AM
tterence.bsky.social
Lighthouses of Rhode Island, this time with labels because I'm bored and there aren't too many. I probably saw most of them too. Can't seem to figure out the one next to Point Judith (osmdata error?) though.

#rayshader adventures, an #rstats tale
A lighthouse map of Rhode Island
October 19, 2023 at 2:36 AM
mackaszechno.bsky.social
Didn't know about memoise.r-lib.org but really nice example of usage with osmdata here 😁
June 25, 2026 at 9:39 AM
ansgarw.bsky.social
It’s the first time I created such an isochrone map. I used R and the following key packages:
📌 tidygeocoder - to geocode the addresses of the REWE supermarkets
🚶‍♂️ osrm - to access the OSRM routing API and to calculate walking distances
🛣 osmdata - to load the street data for the base map
November 3, 2024 at 10:18 AM
mackaszechno.bsky.social
Shinyapp using OSM data showing.
#30DayMapChallenge | Day 14 - Data challenge: OpenStreetMap #rstats
(key:values in alt)
{osmdata} Traffic Signals – key = "highway", value = "traffic_signals" Roundabout – key = "junction", value = "roundabout" Bus Station – key = "amenity", value = "bus_station" Train Station – key = "railway", value = "station" Education – key = "amenity", value = c("university", "college", "school") Medical – key = "amenity", value = c("hospital", "clinic", "doctors")_ Blue Lights – key = "emergency", value = "ambulance_station"; key = "amenity", value = c("fire_station", "police") Retail – key = "landuse", value = "retail" Commercial-Industrial – key = "landuse", value = c("industrial", "commercial") Leisure – key = "leisure", value = c("sports_centre", "stadium", "recreation_ground") Also… key = "highway", value = "bus_stop"
November 14, 2025 at 9:37 AM
nrennie.bsky.social
For this week's #TidyTuesday data about haunted places, I looked at the most haunted city in the USA - Los Angeles!

🗺️ Street map data from OpenStreetMap via {osmdata}

#RStats #R4DS #DataViz
dark background with a map of los angeles showing each street in shades of dark red. White points with a glow surrounding them indicates haunted places in the city.
October 11, 2023 at 2:02 PM
claudelynch.bsky.social
#30DayMapChallenge Day 14: A world map. In response to Sam Fender's album announcement last night I've gone full geordie and used the osmdata R package to find every Newcastle in the world. 8 Newcastles! And then every Sunderland... but there's only one (the one and only).
November 14, 2024 at 3:25 PM
pierrebat.cpesr.fr
On continue d'explorer des packages R pour les besoins de la cause. Aujourd'hui, OSMDATA qui permet d'aller chercher les données d'Openstreetmap puis faire des cartes avec ggplot2

Ici, les lieux où ont été programmées des production théâtrales suisses à Genève (2011-2020)
github.com/ropensci/osm...
July 23, 2025 at 4:21 PM
mackaszechno.bsky.social
libraries:
{osmdata}
{sf}
{dplyr}
{ggplot2}
{nominatimlite}
...and {mapview} if you want to check the intermediate results.
#rspatial
March 25, 2025 at 9:52 PM
dataandme.bsky.social
I haven't used ChatGPT to code much…BUT this 5-min video w/ Matt Dancho is a nice lil' case study/crash course:
🦾 “How to R code faster with ChatGPT”
https://www.business-science.io/code-tools/2023/04/30/chatgpt-prompt-osmdata.html
ChatGPT Prompt Guide (for R users). The mistake I was making was not being specific enough in directing chatgpt what R code I want it to write for me. If you look at what I’m doing now… Image shows example ChatGPT prompt: "Using the osmdata R library, write R code to find the locations of all pharmacies in Pittsburgh. Then use mapview to visualize the pharmacies on a map." Arrows point to osmdata and mapview with the annotation "Which R libraries?". Arrows point to the word pharmacies with the annotation "What business Type". Arrows point to the word Pittsburgh with the annotation "Which location?".
May 2, 2023 at 1:48 PM
mroddc.bsky.social
1) just use R and the osmdata package and download it directly. Then it’s simple to select the region you want and export to shp
August 3, 2025 at 4:48 PM