Overpass turbo

It acts as a database over the web: the client overpass turbo a query to overpass turbo API and gets back the data set that corresponds to the query, overpass turbo. Unlike the main APIwhich is optimized for editing, Overpass API is optimized for data consumers that need a few elements within a glimpse or up to roughly 10 million elements in some minutes, both selected by search criteria like e. It acts as a database backend for various services. Please see the full user's manual for a detailed introduction.

It can also used for simple analysis of OSM data. Just point your browser to overpass-turbo. More information about overpass turbo is found in the OSM wiki. Translations are managed using the Transifex platform. After signing up, you can go to overpass-turbo's project page , select a language and click Translate now to start translating.

Overpass turbo

Objects in the database are made up of single nodes, ways which are a series of single nodes joined together , and relations which are more complex structures where ways and nodes are combined. Tags are used to label these data points by describing the features each one possesses. In this post we will see how to build different types of query to find information via the Overpass Turbo website. Overpass Turbo comes with a built in Query Wizard that makes constructing queries easier. The queries are converted into the more complex Overpass Query language before being sent to the API. To set the bounding box i. Tags come as a key-value pair. Literally everything with the tag key railway has been returned. Railway stations, bridges, crossings, platforms, signal boxes and other features have all shown up on the map. Running the query again gives a slightly different result. The display in the bottom corner of the map says that within the map area there are nodes and ways that match this query. This is the actual code sent to the API and for more complex queries it is sometimes necessary to edit it. The [timeout] tag tells Overpass to stop querying the database after 25 seconds.

OpenStreetMap and Overpass Turbo. Meanwhile, all on the map highlighted objects are clickable and show on overpass turbo, depending on the degree of detail of the request, their id, their tags, and their metadata, overpass turbo. I would be interested in how to look at overpass from the perspective of a database designer.

This is a collection of queries that provides a simple tutorial that introduces the core features and syntax of the Overpass QL query language. Each of the queries introduces a specific feature of the language, starting from querying for simple points of interest through to more complex spatial queries. Each query introduces a specific feature of the language, with subsequent queries showing variations of how to use that feature. Or how to combine it with other features to do more complex queries. Read the descriptions and then review the query. Comments are included to describe the important elements of the query.

This guide shows you examples for queries to make to an Overpass API server: adapt the queries to your particular need. The following simple query can for instance generate a flow of data containing all the nodes in a given bounding box, and print it:. Or you could also extend the result to include the ways which are referencing using the selected nodes using the bn "recurse back to nodes" clause. You can always convert between the two: just paste one of the examples below into this form. You can choose there to get the output in:. To execute the query, use the same form.

Overpass turbo

OpenStreetMap is a Wikipedia of maps. It is a massive geographic database that anyone can use. I have written separate article describing OpenStreetMap in a bit more detailed way if you want to know more. It has mapped roads, buildings, parks, shops, forests, nature reserves, universities, police stations, beaches, prisons, geysers, reefs, hospitals, administrative borders, caves, lighthouses and many more. This data is available in full for free under a friendly ODbL license. It is possible to use this data for a variety of projects. For example, image below is a 3D printed map for the blind based on OpenStreetMap data.

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The second text field for the received raw data is below the slippy map. In this post we will see how to build different types of query to find information via the Overpass Turbo website. Skip to content. Objects in the database are made up of single nodes, ways which are a series of single nodes joined together , and relations which are more complex structures where ways and nodes are combined. Who is doing the tagging? Overpass will alert you if you run it directly in your browser to render the data on the map, the browser tab may crash if you continue loading it. There are actually three separate queries. Instructions are given in each example. Please see the full user's manual for a detailed introduction. This is the actual code sent to the API and for more complex queries it is sometimes necessary to edit it. Overpass turbo also comes with a preloaded set of templates , which can be used instead of share-links for simple use cases like a simple key-value search. Now we are ready to assemble the map call, by combining a bbox-query with several recurse statements and embracing the whole thing with an union.

The Overpass "Query Wizard" helps you do this more easily. To get information from a database you send it a "query" a question in a language the computer can understand the "query language". Writing Overpass queries requires knowledge of the Overpass query language , and even then can sometimes be quite tedious, repetitive work.

Instructions are given in each example. Here we have loaded ways based on nodes , but we have forgotten to ask for the nodes referred by the ways but outside the bounding box:. It is licensed under the Affero GPL v3. Views Read View source View history. Slides , Video. Overpass turbo - Other languages. This site uses Akismet to reduce spam. More examples on this page. Kumi Systems Overpass Instance. Warning: when running this example, more than MiB of data will be retrieved even if it does not recurse up to give all details like in the first example, here it will only retrieve a flat list of nodes with their tags. Queries saved on OSM are accessible from everywhere after logging in, while locally stored queries are saved directly in your browser's local storage one has a separate set of locally stored queries for each browser.