What is Reddit's opinion of OpenRouteService.org?

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Nein, du schriebst in deinem Titel nur "in NRW", das klang für mich nach "irgendwo in NRW". Eigentlich suchst aber ja in der Umgebung von Münster, östliches Ruhrgebiet ginge noch, westliches Ruhrgebiet gerade noch, Ddorf und Köln sind raus. Deshalb mein Kommentar.

Die Karte ist mit dem OpenRouteService gemacht.

Radwege sind meines Wissens nach auf der linksrheinischen Seite zu finden: http://opencyclemap.org/?zoom=11&lat=50.2544&lon=7.59962&layers=B0000

Die Streckenverhältnisse kannst du bei OpenRouteService einsehen: https://openrouteservice.org/directions?n1=50.006636&n2=7.975559&n3=12&a=50.364292,7.606208,50.080446,7.764979,50.011118,8.105936,50.028696,8.202324,50.005567,8.273317&b=1c&c=0&g1=-1&g2=0&h2=3&k1=en-US&k2=km

Routenplanung per OSM könnte ganz nett sein. Grundlegend werden Dir lokale MTBler sicherlich wertvollere Tipps geben aber die haben da schöne Funktionen eingebaut: Oberflächenart, GPX-Export, Visualisierung der Anstiege, etc.
Musst nur schauen, dass Du beim Routing die Mountainbike-Option anwählst.

Viel Spaß! Ü

Das wäre so die grobe Entfernung mit dem Rad - 170-190 km, je nach dem über welche Klitschen man fährt. Beispielroute: https://openrouteservice.org/directions?a=51.055604,13.731021,52.29909,13.258051&b=1e&c=0&g1=-1&g2=0&h2=3&k1=en-US&k2=km

Here is a simple Python script to return coordinates from an address (geocode):

# from here: # https://openrouteservice.org/dev/#/api-docs/geocode/search/get

import requests import json

searchText = '123 Sesame Street, Yourtown, Yourstate, 12345'

api_key = 'api-key-here' api_url = str('https://api.openrouteservice.org/geocode/search' + '?api_key=' + api_key + '&text=' + searchText)

headers = {'Accept': 'application/json, application/geo+json, application/gpx+xml, img/png; charset=utf-8',} call = requests.get(api_url, headers=headers) print(call.status_code, call.reason) location = json.loads(call.text)['features'][0]['geometry']['coordinates'] print("[lon, lat]") print(location)

Here is a script to geocode addresses using OpenRouteServices (you need a free API Key):

# from here: # https://openrouteservice.org/dev/#/api-docs/geocode/search/get

import requests import json

searchText = 'put_address_here'

api_key = 'put_API_Key_here' api_url = str('https://api.openrouteservice.org/geocode/search' + '?api_key=' + api_key + '&text=' + searchText)

headers = {'Accept': 'application/json, application/geo+json, application/gpx+xml, img/png; charset=utf-8',} call = requests.get(api_url, headers=headers) print(call.status_code, call.reason) location = json.loads(call.text)['features'][0]['geometry']['coordinates'] print("[lon, lat]") print(location)

If you aren't comfortable using scripts then you can use google sheets, there are a few tutorials.

www.cycling.waymarkedtrails.org - Zoom a bit in and out to find more routes. If you use https://openrouteservice.org/ you can also see if a road is paved/unpaved as long someone marked it in OpenStreetMap.

Das Stichwort lautet hier Isochrone. Diese sind beispielsweise beim OpenRouteService implementiert. Es können sowohl Zeit- als auch Distanzbasierte Isochronen generiert werden, und das für verschiedene Fortbewegungsarten. Auch in Intervallen. Das ganze ist natürlich ziemlich rechenlastig, daher ist die Anzahl an Layern begrenzt.

Edit: So kann das aussehen. Dresden, Auto, 15–60 Minuten Fahrt (in 15 Minuten-Intervallen). Direktlink

Nice one, bookmarked.

There are a few other good sites, for instance OpenRouteService which has options to avoid unpaved, hills, high speed roads, etc.

I made this site: https://routecheck.cc/ which lets you compare a route from RideWithGPS, ORS or a GPX file with the Strava cycling heatmap and poke around with Streetview. More geared to long road rides but some find it useful.

Depends on your use case and workflow, but I recently built this API call into one of my processes and it works really well as I don't need to maintain a DTM dataset. https://openrouteservice.org/dev/#/api-docs/elevation

Openrouteservices or ORS tool maybe the thing you will need. It has thing for making isochrones from openstreetmap data. There is HERE api too for making similar service area or network analysis.
https://openrouteservice.org/
https://developer.here.com/

A project being open source would mean that the source is viewable and sometimes editable by anyone who takes part in the project. It doesn't mean that a particular deployed instance of the project has to be accessible to everyone.

An example of this is OpenServiceRoute. I can go look at how the website works in GitHub, but I can't go and modify the data on their domain myself.

Typically anyone working on the open source project will also create their own local copy of the database that they can work with in development.

In case you don't want to use a local database file or need something more precise than a city's long/lat, I used the openroutservice api for geo coding in one of my recent projects. It offers 1.000 queries per day for free and has a python wrapper. Another option would be the Google maps API which offers 40k requests per month.

Check out https://openrouteservice.org/dev/#/api-docs/matrix

It's free so if you have a lot of requests, you could pace them out, but basically you want to use VBA to create an array of the start point long lats and the destination long lats.

Then you can obtain a matrix of the point to points for all of them into a helper sheet. Then it would be a simple lookup.

Of course there are other API calls they have, but I've found the matrix to be the lightest one since you can make one single request to get everything you need.

This free geocoding service might help. It uses data from openstreetmap(osm), openaddresses(oa), whosonfirst(wof), geonames(gn).

There is a daily limit (for each free API key).

From: http://www.residentmar.io/2019/01/15/ford-go-bike-maps.html

>And a caveat: this map uses idealized routes generated using the Open Route Service (which in turn uses OpenStreetMap data). These routes may differ from the actual, perhaps more circuitous routes bikers take.

You can actually do a lot of cool stuff with OpenStreetMap, which is useful. Like searching for all cycle shops in Vienna: http://overpass-turbo.eu/s/r11 - great to find one when your bike breaks down

Or THIS routing engine, which gives you surface informations and elevation profiles.

In einer abgespeckten Version geht das hier. Es gehen beim Auto leider nur max. 60min und auch nur maximal 10 Abstufungen. K.a. ob man irgendwie an die sourcen kommt um das zuhause in Größer laufen zu lassen, ist von der Uni Heidelberg.