SeverinGeo20h ago
*Tools* 1/2
In JDL09Organic’s comparison of #OSM field editors, I would add #OSMGo, which I consider best editor for adding new POIs across entire neighborhood. Very clear interface that shows existing POIs and progress, quick to enter essential information, and lets set a timeframe for when POIs become obsolete. See my OSM post on Mucugê. I use @everydoor to supplement existing POIs or for small areas because the interface only shows nearby POIs.
https://www.openstreetmap.org/user/SeverinGeo/diary/406940
https://www.openstreetmap.org/user/JDL09Organic/diary/408481
Show threadSeverinGeo20h ago
*Tools* 2/2
A #python script that lists the rare (and often incorrect) values of #OSM tags from a #postgresql database.
The layer filter at @qgis also allows you to highlight all these fanciful tags as categories.
https://www.grulic.org.ar/~mdione/glob/posts/correcting-openstreetmap-wrong-tag-values/
Show threadSeverinGeo

*Resources*

Finally, the start of #documentation @panoramax on the #OSM #wiki rather than on forum pages, which aren’t really suited for this. To get an idea, just imagine @wikipedia moving to a forum platform
https://wiki.openstreetmap.org/wiki/Images_for_Panoramax:_Equipment_and_Techniques

Finally, #OSM country or region data is available directly in #geopackage thanks to @geofabrik
https://blog.geofabrik.de/index.php/2026/04/07/download-server-update/

Apr 14 at 6:53pmWeb
Show threadSeverinGeo20h ago

*OSM Analyses* 1/2

@heigit presents differences in travel time estimates between ORS and other engines—both open-source and commercial—in Germany, India, and the Congo. But it’s unclear whether commercial alternatives currently offer more accurate estimates or not
https://heigit.org/openstreetmap-data-as-a-basis-for-routing-how-well-does-it-really-work/
I recently noted a huge difference in results from engines available on osm.org for a 200+ km route along the coast. GraphHopper 218 km 2h42 / OSRM 217 km 3h14 / Valhalla 234 km 5h32(!)

Show threadSeverinGeo20h ago
*OSM Analyses* 2/2
#Strado impressive work by L_J_R on Neighborhood Livability Scores. #OSM data, vector tiles, zero hosting cost.
However, representing continuous phenomena with a hexagonal grid has its limits when objects are difficult to represent as points. This is particularly noticeable for large parks, which have the lowest livability scores, whereas #IRL they represent an undeniable asset for the livability of nearby blocks.
https://www.openstreetmap.org/user/L_J_R/diary/408463