Various map features (position number from left to right in parentheses in text below) Opera, Chrome and Firefox have been tested and work. Please note that you need a somewhat recent web browser for using overpass turbo. When clicking on an object, a popup shows all the information of the selected node, way or relation: type and id, tags, coordinates, relationship memberships and meta data are shown, if available. Overpass turbo displays as much data as possible (see map key below). Put your Overpass API query (see Language Guide) into the editor, hit the Run button, and get amazed by the goodness of the OSM data displayed ) There is also a GitHub project that allows you to use overpass turbo for querying habitats. Some players in particular have created overpass turbo scripts to find such nests ( script), and also to find EX Raids ( script). Overpass turbo is well known by many Pokémon Go players, who use the tool to map out possible spawns and nests. Overpass turbo is also useful for filtering out certain things you are looking for.
) and loading them directly into an editor. Showing spatially large features (boundaries, rivers, complete motorways, PT-networks.place nodes) which are distributed evenly over large areas. Looking for special POIs which are not drawn on the map.Searching for (rare) spelling mistakes or breaks with naming conventions over a large area.Here are some ideas where using overpass turbo can be a handy tool while mapping: With overpass turbo, there is an easy way to quickly run any Overpass query and inspect the results in a user friendly manner. The Overpass API can be a great tool for mapping, as it is very powerful at filtering OSM data. 8 Feedback, bug reports, feature requests.OverpassResult = QgsVectorLayer(json.dumps(featureCollection), "overpassResult", "ogr") Response = requests.post(overpassUrl, data = queryObj) import requestsĪroundQuery = 'around:10,' + ','.join(latLngPairs)
#THE OVERPASS CODE#
QueryString = '(around:10,' + ','.join(latLngPairs) + ')'Īdditional code how you can directly load the query as a new feature layer. Raise Exception('One feature should be selected!') If (len(selected_features) > 1 or len(selected_features) = 0):
Just import the GPX as a feature layer and select one single line. In addition to the answer of you can use the following python code to create the around statement. 7 digits should be more than sufficient (yes, example needs some rework).Don't just translate your raw GPS traces into a query, otherwise query performance will be really poor. You should simplify / de-noise your GPS traces before feeding it into (around: ).More details are also available in the Overpass QL documentation: (around) You need to use the Overpass QL around statement along with a list of lat/lon pairs.