Mastodawn

Is #Overpass supposed to be so slow and inefficient or is that just because of excessive use? I've made a mildly complex query and it simply cannot run it in large bboxes, it'll just load infinitely.

#OpenStreetMap

mxk Feb 2

Crazy idea of the day:
could I use the Overpass API to find all possible weekend hiking trips in the alps?

I want to get tuples of tourism=alpine_hut which are not more than 7h walking distance from each other and can be either reached within 4,5h from a common parkinglot or have a bus stop within 4,5h walking distance.

From what I understand, even path distance sadly isn't trival in Overpass and generating such a query for a reasonable part of the alps probably means I need would need to set up my own OSM server with Overpass-API, right?

It really would be nice to not having to scan maps manually but actually being able to automate the process and get an automatic list of suggestions!

#OpenStreetMap #OSM #Overpass #OverpassAPI

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jomo Feb 1

@mvexel fully agree. After going into that rabbit hole I've been doing workshops on #Overpass QL, which I might turn into a talk at some point.

There's a lot of advanced examples in https://github.com/raphael-sch/OverpassNL/tree/main/dataset + a nice paper!

I can also recommend reading the official documentation at https://dev.overpass-api.de/overpass-doc, despite being incomplete.

Looking at the XML variant of queries can also help making more sense of the quirky syntax. You can use https://overpass-api.de/query_form to convert between the two.

#OSM

OverpassNL/dataset at main · raphael-sch/OverpassNL

Natural Language to Overpass Query Language. Contribute to raphael-sch/OverpassNL development by creating an account on GitHub.

GitHub

Martijn van Exel Jan 30

the world (well, the #OSM world) could do with more good #overpass QL tutorials. It's an intimidating query language and the documentation on the OSM wiki leaves a lot to be desired.

This project seems abandoned but it has a lot of promise: https://github.com/ldodds/overpass-doc

Is anyone aware of other efforts in this domain? #OpenStreetMap

GitHub - ldodds/overpass-doc

Contribute to ldodds/overpass-doc development by creating an account on GitHub.

GitHub

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Amᵃᵖanda | map data witch Jan 23

@zverik I don't even use the regular #overpass data updates, and just do a fresh import every week.
I wouldn't even attempt to try to upgrade the overpass software without doing a fresh data update

Amᵃᵖanda | map data witch Jan 23

#Overpass is such a powerful #OpenStreetMap tool, but it has the strangest version numbers ever. Latest release is v0.7.62.4
4 levels of version number! v0.7.0 was released more than 10 years ago...

Cripes, just do a “version one release” 🤦🏻‍♀️🤦🏻‍♀️🤦🏻‍♀️

http://dev.overpass-api.de/releases/

Index of /releases

steve Jan 22

A glimpse of the Good Life on my morning commute.
#AltText #bridge #car #concrete #fediverse #flyover #fujifilm #fujixseries #graffiti #headlights #lightTrails #Manchester #ManchesterPhotography #MancunianWay #mastodonPhotography #motion #motionBlur #movement #myPhoto #myWork #night #nightPhotography #nighttime #NoAI #No2AI #OC #overpass #photography #pixelfed #red #streetArt #streetLighting #streetPhotography #taillights #UK #urban #urbanPhotography #white #x100vi

watmildon Dec 27

I am trying to work out how to get MascotMap pulling from Postpass. My current best result is that Postpass takes twice as long as Overpass to return the same data. Hopefully I can nerdsnipe someone into showing me a more efficient query.

Fortunately, I am an absolute noob so it's probably easy to do something better!

https://github.com/watmildon/HighSchoolMascotMap/issues/41

#OpenStreetMap #MascotMap #Postpass #Overpass

Investigate Postpass query · Issue #41 · watmildon/HighSchoolMascotMap

I am investigating using Postpass as a potentially faster option for map loading. The current "state of the art" I have for the Postpass query takes about twice as long as the equivalent Overpass q...

GitHub

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jomo Dec 17

@feuerrot @karotte gut gesniped!

Also #Overpass-QL ist dafür denkbar schlecht. Man kann damit zwar Städte/Gemeinden suchen und in in einem Umkreis von X weitere nach bestimmten Eigenschaften weitere suchen. Es kann RegEx, aber weder Levenshtein noch nach Distanz sortieren (außer vielleicht über sehr komplizierte, ineffiziente Umwege).