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This notebook is based around a simple tool named OSM Runner that queries the OpenStreetMap (OSM) Overpass API and returns a Spatial Data Frame. Using the Python API inside of a Jupyter Notebook, we can develop map-driven tools to explore OSM with the full capabilities of the ArcGIS platform at our disposal. Be sure to update the GIS connection ...
- 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 ...
OpenStreetMap (OSM) is a global collaborative (crowd-sourced) dataset and project that aims at creating a free editable map of the world containing a lot of information about our environment 1. It contains data for example about streets, buildings, different services, and landuse to mention a few. You can view the map at www.openstreetmap.org.
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Mar 19, 2024 · Python wrapper for the OSM API
Aug 2, 2018 · Using the Overpass API. Now we’ll take a look how to load data from OSM. The Overpass API uses a custom query language to define the queries. It takes some time getting used to, but luckily there is Overpass Turbo by Martin Raifer which comes in handy to interactively evaluate our queries directly in the browser.
Dec 8, 2019 · In this tutorial, we learn to retrieve OpenStreetMap data using OSMNX, a python package. OSMnx is a Python package that lets you download spatial geometries and model, project, visualize, and analyze street networks and other spatial data from OpenStreetMap’s API. In the next three sections, we retrieve three different kinds of data from ...
Apr 8, 2021 · The code from the SVN-Server of OpenStreetMap has been moved to GitHub by User:Metaodi : There you can contribute to the project of you like (e.g. by creating issues or pull requests). The osmapi package is also available via Python Package Index (PyPI) and can therefore be integrated in Python projects pretty easily.
