Day 5 | Sight | #30DayMapChallenge. What Berlin Sees. How much of the city can be seen, and from where? viewsheds of every viewpoint and observation tower.
#RStats #sf #terra #ggplot2 #osmdata #patchwork #ggspatial #rnaturalearth #GeoportalBerlin
#RStats #sf #terra #ggplot2 #osmdata #patchwork #ggspatial #rnaturalearth #GeoportalBerlin
November 5, 2026 at 5:12 AM
Day 5 | Sight | #30DayMapChallenge. What Berlin Sees. How much of the city can be seen, and from where? viewsheds of every viewpoint and observation tower.
#RStats #sf #terra #ggplot2 #osmdata #patchwork #ggspatial #rnaturalearth #GeoportalBerlin
#RStats #sf #terra #ggplot2 #osmdata #patchwork #ggspatial #rnaturalearth #GeoportalBerlin
Mark gave us a demo of Urban Analyst, presented the `osmdata` R package and shared his "passion for routing algorithms" (e.g. `dodgr`)
www.urbananalyst.city
www.urbananalyst.city
October 23, 2026 at 12:02 PM
Mark gave us a demo of Urban Analyst, presented the `osmdata` R package and shared his "passion for routing algorithms" (e.g. `dodgr`)
www.urbananalyst.city
www.urbananalyst.city
I had a similar (non-Quarto) issue recently when running queries using the osmdata package. It kept timing out when running interactively in Positron. When I ran the same code in RStudio, it ran in under 1 minute.
October 14, 2026 at 4:23 PM
I had a similar (non-Quarto) issue recently when running queries using the osmdata package. It kept timing out when running interactively in Positron. When I ran the same code in RStudio, it ran in under 1 minute.
Updates on CRAN: NHANES (2.1.4), nlme (3.1-171), osmdata (0.4.1), outcomerate (1.1.0), pbapply (1.7-5), pdftools (3.9.1), performance (0.18.1), phontrast (2.4.1), poisFErobust (2.0.1), reactRouter (0.2.1), SeuratExplorer (0.1.8), xpose.xtras (0.2.2)
September 1, 2026 at 1:58 PM
Updates on CRAN: NHANES (2.1.4), nlme (3.1-171), osmdata (0.4.1), outcomerate (1.1.0), pbapply (1.7-5), pdftools (3.9.1), performance (0.18.1), phontrast (2.4.1), poisFErobust (2.0.1), reactRouter (0.2.1), SeuratExplorer (0.1.8), xpose.xtras (0.2.2)
Brushing up my toddler SPARQL skills by mapping non-private saunas within the Helsinki area. OSM Sophox doesn't return them all due to data update issues AFAIK https://t.co/pl1bGK8yff (and sometimes it doesn't serve) so here's #RStats {osmdata} {leaflet} https://t.co/TrhARZUkYe
November 13, 2024 at 4:06 PM
Brushing up my toddler SPARQL skills by mapping non-private saunas within the Helsinki area. OSM Sophox doesn't return them all due to data update issues AFAIK https://t.co/pl1bGK8yff (and sometimes it doesn't serve) so here's #RStats {osmdata} {leaflet} https://t.co/TrhARZUkYe
I'll just leave this here. To search for a string 'library(osmdata)' recursively in all *.R files with Windows 10 PowerShell:
Get-ChildItem 'C:\Users\Me\Documents\' -Filter *.R -Recurse | Select-String "library\(osmdata\)"
Get-ChildItem 'C:\Users\Me\Documents\' -Filter *.R -Recurse | Select-String "library\(osmdata\)"
November 13, 2024 at 4:06 PM
I'll just leave this here. To search for a string 'library(osmdata)' recursively in all *.R files with Windows 10 PowerShell:
Get-ChildItem 'C:\Users\Me\Documents\' -Filter *.R -Recurse | Select-String "library\(osmdata\)"
Get-ChildItem 'C:\Users\Me\Documents\' -Filter *.R -Recurse | Select-String "library\(osmdata\)"
One (final!) go. Thanks to help by @bikesRdata at https://t.co/IdtbSwFLqE my OSM data now has a much smaller memory footprint. Also, https://t.co/TkeUweQjgo made me think that perhaps ETRS-GK25 (raster) and WGS84 (OSM) are ~the same, and minor diffs are due to georeferencing.
How to download only $osm_lines and specific attributes? · Issue #144 · ropensci/osmdata
I'm starting to use your excellent package but I found that it download the whole information, consuming too much RAM. I just need osm_lines with the attributes "highway" and "maxspeed". Is it poss...
github.com
November 13, 2024 at 1:59 PM
One (final!) go. Thanks to help by @bikesRdata at https://t.co/IdtbSwFLqE my OSM data now has a much smaller memory footprint. Also, https://t.co/TkeUweQjgo made me think that perhaps ETRS-GK25 (raster) and WGS84 (OSM) are ~the same, and minor diffs are due to georeferencing.
The cool thing is it only takes fewer than 30 lines of code!
Here's one more for you.
Here's one more for you.
July 10, 2025 at 1:24 AM
The cool thing is it only takes fewer than 30 lines of code!
Here's one more for you.
Here's one more for you.
I created something similar ... also with osmdata in R
July 10, 2025 at 1:12 AM
I created something similar ... also with osmdata in R
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
#rayshader adventures, an #rstats tale
October 19, 2023 at 2:36 AM
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
#rayshader adventures, an #rstats tale
Updates on CRAN: ananke (0.3.0), ganttify (0.2.7), GHCNr (1.4.7), movecost (3.0.0), odyssey (1.0.1), osmdata (0.4.0), pkgload (1.5.3), primarycensored (1.5.1), ragtop (1.2.1), refugees (2025.12.0), rice (2.2.0), sanba (0.0.4), tulpaMesh (0.1.3), Xplortext (1.6.1)
June 15, 2026 at 8:23 PM
Updates on CRAN: ananke (0.3.0), ganttify (0.2.7), GHCNr (1.4.7), movecost (3.0.0), odyssey (1.0.1), osmdata (0.4.0), pkgload (1.5.3), primarycensored (1.5.1), ragtop (1.2.1), refugees (2025.12.0), rice (2.2.0), sanba (0.0.4), tulpaMesh (0.1.3), Xplortext (1.6.1)
Updates on CRAN: aifeducation (1.1.1), awdb (0.1.3), CFtime (1.7.0), conquestr (1.5.5), DImodelsVis (1.0.3), ezplot (0.8.2), letsRept (1.0.1), nftbart (2.2), osmdata (0.3.0), pliman (3.1.1), plotthis (0.7.4), poppr (2.9.8), pricesensitivitymeter (1.3.1), rbedrock (0.4.0)
August 24, 2025 at 2:44 AM
Updates on CRAN: aifeducation (1.1.1), awdb (0.1.3), CFtime (1.7.0), conquestr (1.5.5), DImodelsVis (1.0.3), ezplot (0.8.2), letsRept (1.0.1), nftbart (2.2), osmdata (0.3.0), pliman (3.1.1), plotthis (0.7.4), poppr (2.9.8), pricesensitivitymeter (1.3.1), rbedrock (0.4.0)
Boundary disputes are a major but little-known challenge in mapping. This talk at #SOTMUS2026 illustrates the process of displaying disputed borders and the development of a legal multiview boundary set using #OSMdata and its connections to #Wikidata.
🔗 youtu.be/yOs_Avj5ZgE?...
🔗 youtu.be/yOs_Avj5ZgE?...
Can you make a legal map with OpenStreetMap? ~ Mike Migurski
Boundary disputes are a major but little-known challenge in mapping: how can you show disputed borders between neighboring countries that claim the same territory? Here in the U.S. we're used to…
youtu.be
August 13, 2026 at 8:10 PM
Boundary disputes are a major but little-known challenge in mapping. This talk at #SOTMUS2026 illustrates the process of displaying disputed borders and the development of a legal multiview boundary set using #OSMdata and its connections to #Wikidata.
🔗 youtu.be/yOs_Avj5ZgE?...
🔗 youtu.be/yOs_Avj5ZgE?...
Boundary disputes are a major but little-known challenge in mapping. This talk at #SOTMUS2026 illustrates the process of displaying disputed borders and the development of a legal multiview boundary set using #OSMdata and its connections to #Wikidata.
🔗 youtu.be/yOs_Avj5ZgE?...
🔗 youtu.be/yOs_Avj5ZgE?...
Can you make a legal map with OpenStreetMap? ~ Mike Migurski
Boundary disputes are a major but little-known challenge in mapping: how can you show disputed borders between neighboring countries that claim the same territory? Here in the U.S. we're used to…
youtu.be
August 13, 2026 at 9:55 PM
Boundary disputes are a major but little-known challenge in mapping. This talk at #SOTMUS2026 illustrates the process of displaying disputed borders and the development of a legal multiview boundary set using #OSMdata and its connections to #Wikidata.
🔗 youtu.be/yOs_Avj5ZgE?...
🔗 youtu.be/yOs_Avj5ZgE?...
#30DayMapChallenge 2023🗺️ | #Day15 | OpenStreetMap
Valéncia, ES schools and underground stations.
DataSource: {osmdata}
Tool: #R
#rspatials #rstats #datascience #maps #graphics #spatials
Valéncia, ES schools and underground stations.
DataSource: {osmdata}
Tool: #R
#rspatials #rstats #datascience #maps #graphics #spatials
November 15, 2023 at 8:06 PM
#30DayMapChallenge 2023🗺️ | #Day15 | OpenStreetMap
Valéncia, ES schools and underground stations.
DataSource: {osmdata}
Tool: #R
#rspatials #rstats #datascience #maps #graphics #spatials
Valéncia, ES schools and underground stations.
DataSource: {osmdata}
Tool: #R
#rspatials #rstats #datascience #maps #graphics #spatials
Pretty cool 😃 The built-in palettes allow for ready visualisation of different aspects of the base plot.
da-wi.github.io/cartographr/
da-wi.github.io/cartographr/
July 29, 2026 at 4:58 PM
Pretty cool 😃 The built-in palettes allow for ready visualisation of different aspects of the base plot.
da-wi.github.io/cartographr/
da-wi.github.io/cartographr/
Didn't know about memoise.r-lib.org but really nice example of usage with osmdata here 😁
June 25, 2026 at 9:39 AM
Didn't know about memoise.r-lib.org but really nice example of usage with osmdata here 😁
Making it local and adding stations...
February 14, 2026 at 10:08 PM
Making it local and adding stations...
February 14, 2026 at 9:53 PM
Shinyapp using OSM data showing.
#30DayMapChallenge | Day 14 - Data challenge: OpenStreetMap #rstats
(key:values in alt)
#30DayMapChallenge | Day 14 - Data challenge: OpenStreetMap #rstats
(key:values in alt)
November 14, 2025 at 9:37 AM
Shinyapp using OSM data showing.
#30DayMapChallenge | Day 14 - Data challenge: OpenStreetMap #rstats
(key:values in alt)
#30DayMapChallenge | Day 14 - Data challenge: OpenStreetMap #rstats
(key:values in alt)