we like it when it is windy: April 2023

// "The Wicklow Way"
// https://www.openstreetmap.org/relation/2740#map=10/52.9875/-6.4263&layers=C
//relation[2740]({{bbox}});
//node[highway=path,name="The Wicklow Way"]({{bbox}});
//node[name="Wicklow Way"]({{bbox}});
(
relation[route=bicycle]({{bbox}});
way[highway=path][name="Wicklow Way"]({{bbox}});
way[highway=track][name="Wicklow Way"]({{bbox}});
way[highway=footway][name="Wicklow Way"]({{bbox}});
way[highway=unclassified][name="Wicklow Way"]({{bbox}});
node[amenity=shelter]({{bbox}});
);
/*added by auto repair*/
(._;>;);
/*end of auto repair*/
out;

e.g. Wicklow Way with some roads

(
//relation[route=bicycle]({{bbox}});
way[highway=path][name="Wicklow Way"]({{bbox}});
way[highway=path][name="Wicklow Way/Dublin Mountains Way"]({{bbox}});
way[highway=track][name="Wicklow Way"]({{bbox}});
way[highway=track][name="Wicklow Way/Dublin Mountains Way"]({{bbox}});
way[highway=footway][name="Wicklow Way"]({{bbox}});
way[highway=unclassified][name="Wicklow Way"]({{bbox}});
node[amenity=shelter][shelter_type=weather_shelter]({{bbox}});
way[highway=tertiary][name="Wicklow Way"]({{bbox}});
);
(._;>;);
out;

e.g. find the shelters on The Wicklow Way

// find the shelters on The Wicklow Way
node[amenity=shelter][shelter_type=weather_shelter]({{bbox}});
out;

e.g. ecar charging station near Dublin, Ireland

(
node["amenity"="charging_station"](around:50000,{{geocodeCoords:Dublin}});
way["amenity"="charging_station"](around:50000,{{geocodeCoords:Dublin}});
relation["amenity"="charging_station"](around:50000,{{geocodeCoords:Dublin}});
);
out;
>;
out;

e.g. recycling, bottle banks etc

(
node["amenity"="recycling"](around:50000,{{geocodeCoords:Dublin}});
way["amenity"="recycling"](around:50000,{{geocodeCoords:Dublin}});
relation["amenity"="recycling"](around:50000,{{geocodeCoords:Dublin}});
);
out;
>;
out;

Query-to-map

https://wiki.openstreetmap.org/wiki/Query-to-map

MAYBE TOO BIG an area to query ? too slow: Maybe BROKEN ?

https://query2map.toolforge.org/featurelist.php?key=amenity&value=post_box&types=points-areas-infos&BBOX=-6.2448,53.2532,-6.1834,53.2846

select BBOX

e.g. around Leopardstown Heights:

https://www.openstreetmap.org/export#map=14/53.2689/-6.2141

EXPORT => too big but it shows you bbox format:

https://www.openstreetmap.org/api/0.6/map?bbox=-6.2448%2C53.2532%2C-6.1834%2C53.2846

= -6.2448,53.2532,-6.1834,53.2846

Learning about Overpass queries:

HELPFUL:

https://stackoverflow.com/questions/54006208/query-openstreetmap-for-specific-amenity

Your example – hospitals in a 50 km radius around Denver – might look like this.

Where this = https://overpass-turbo.eu/s/EWF

(
node["amenity"="hospital"](around:50000,{{geocodeCoords:Denver}});
way["amenity"="hospital"](around:50000,{{geocodeCoords:Denver}});
relation["amenity"="hospital"](around:50000,{{geocodeCoords:Denver}});
);
out;
>;
out;

AROUND filter:

https://wiki.openstreetmap.org/wiki/Overpass_API/Overpass_QL#Relative_to_other_elements_.28around.29

GOOD TUTORIAL:

https://mapio.cymru/en/2020/12/overpass/

Fun with Wales’ map data: a tutorial using Overpass queries and OpenStreetmap

OpenStreetMap query: show paths in Leadmines/Barnaslingan area

maps - osm query paths on leadmines - show in 3D view on google earth

Jan 21, 2022, 5:59 PM

1. select bbox area

Leadmines: https://www.openstreetmap.org/export#map=15/53.2205/-6.1590

e.g. around Leopardstown Heights bigger area:

https://www.openstreetmap.org/export#map=14/53.2689/-6.2141

EXPORT => too big but it shows you bbox format:

https://www.openstreetmap.org/api/0.6/map?bbox=-6.2448%2C53.2532%2C-6.1834%2C53.2846

= -6.2448,53.2532,-6.1834,53.2846

2. make a query to select nodes and ways

2.1 and then export data export.{kml,gpx,osm,geojson}

http://overpass-turbo.eu/#

Also make an overpass account and sign in so you can save your queries.

/*
This is an example Overpass query.
Try it out by pressing the Run button above!
You can find more examples with the Load tool.
node
[amenity=drinking_water]
({{bbox}});
out;
*/

way["highway"](53.2140,-6.1687,53.2255,-6.1478);
(._;>;);
out meta;

// YES:
//(node (53.2140,-6.1687,53.2255,-6.1478); <;); out meta;

/*
Way bicycle=no/yes highway=track/cycleway/path/unclassified surface=dirt/earth/paved name=...
Node power=pole
Way cables=3 power=line/minor_line wires=single
Relation landuse=forest type=multipolygon
*/

3. Import the data KML into Google Earth

https://earth.google.com/web/@53.21914795,-6.1548064,205.55144116a,3920.55707256d,30.00000083y,0h,0t,0r

On your computer, open Google Earth.
On the left, click Projects Projects.
Click the New Project button.
To add a file directly to your computer, select Import KML File.