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Exploring OpenStreetMap using Pandas and the Python API | ArcGIS API for Python. This notebook is based around a simple tool named OSM Runner that queries the OpenStreetMap (OSM) Overpass API and returns a Spatial Data Frame.
One the most useful features that OSMnx provides is an easy-to-use way of retrieving OpenStreetMap data (using OverPass API). In this tutorial, we will learn how to download and visualize OSM data covering a specified area of interest: the neighborhood of Edgewood in Washington DC USA.
- Installation
- Example 1
- Example 2
- Example 3
- Example 4
To install OSMPythonTools, you will need python3 and pip (How to install pip). Then execute: On some operating systems, pip for python3 will be named pip3:
Which object does the way with the id 5887599represent? We can use the OSM API to answer this question: The resulting object contains information about the way, which can easily be accessed:
What is the English name of the church called "Stephansdom", what address does it have, and which of which denomination is the church? We use the Overpass API to query the corresponding data: This time, the result is a number of objects, which can be accessed by result.elements(). We just pick the first one: Information about the church can now eas...
How many trees are in the OSM data of Vienna? And how many trees have there been in 2013? This time, we have to first resolve the name "Vienna" to an area id: This area id can now be used to build the corresponding query: There are 134520 trees in the current OSM data of Vienna. How many were there in 2013?
How did the number of trees in Berlin, Paris, and Vienna change over time? Before we can answer the question, we have to import some modules: The question has two "dimensions": the dimension of time, and the dimension of different cities: We have to define how we fetch the data. We again use Nominatim and the Overpass API to query the data (it can ...
Aug 2, 2018 · There are also different API possible such as the native OSM API or the Nominatim API. In this article we will only focus on the Overpass API which allows us to query specific data from the OSM data set. Quick Look at the OSM Data Model. Before we start, we have to take a look at how OSM is structured.
Mar 19, 2024 · Write to OpenStreetMap >>> import osmapi >>> api = osmapi. OsmApi (api = "https://api06.dev.openstreetmap.org", username = u "metaodi", password = u "*****") >>> api. ChangesetCreate ({u "comment": u "My first test"}) >>> print (api. NodeCreate ({u "lon": 1, u "lat": 1, u "tag": {}})) {u 'changeset': 532907, u 'lon': 1, u 'version': 1, u 'lat ...
Apr 16, 2024 · Accessing the OpenStreetMap API with Python directly. Posted on 2024-04-16, by Racum . Tags: GIS OpenStreetMap JSON Python Shapely. Table of Contents. The OpenStreetMap API. Elements. Endpoints. Payloads. Python Fetching and Parsing. Code. Usage. Conclusion.
Python wrapper for the OSM API (requires Python >= 3.8) Installation. Install osmapi from PyPi by using pip: pip install osmapi. Documentation. The documentation is generated using pdoc and can be viewed online. The build the documentation locally, you can use. make docs. This project uses GitHub Pages to publish its documentation.
