Sounds like a case forOpenAerialMap, which after a hiatus, looks like it might get a reboot. Wish I could think of something that was active. They already have a functional beta:
The OSM wiki also has some notes on aerial imagery.
The problem is that OSM has many nodes and ways on the map, and many of them overlap. I don't know if there is any way to filter data with Nominativ, but you can filter data with Overpass.
First step is to determine what data you want. In example above it seems that you want soccer field. OSM doesn't have any metadata standard, so it depends of every ...
earth explorer via usgs has a slew of satellite datasets, although i'm not sure if they meet your requirements 100%. Aerial Imagery/Aerial Photo Mosaics on Earth Explorer:
Aerial Photo Single Frames
Antarctic Flight Line Maps
Antarctic Single Frames
High Resolution Orthoimagery
Data.gov provides geospatial data for areas around the world through NASA satellite imagery and other shared services. You can search for mapping data in France or anywhere else at http://geo.data.gov/geoportal/. You can also see a view of a new geospatial catalog on Data.gov below.
I've already entered the parameters for France, so you can see the data ...
In Italy there is a project named SmartRoadSense, started on February 21th, 2015. The goal of this project is monitoring of Italy's road surface (487,700 km ) and all results are open data.
Now, after nine months, has been collected more than 24,000 km of open data. In the site smartroadsense.it you can see two uses of this data, and donwload it.
Here is some information on how to get closer to what you might be looking for.
One well-organized source for information like this is a site called GeoNames.org. GeoNames has a number of APIs as well as downloads ("dumps") which are discussed on their export page.
For your use case, an export seems to make sense. Each country's POIs (points of interest) ...
OpenStreetMap hosts an open source google maps like database from which you can download all the map elements, from which you can filter all the roads according to the type of road you want. The speed limits should be tagged as described on their wiki.
Yes; go to overpass turbo and build your query based on cycleway tags. It's not guaranteed that OSM will have official open data in it, as manual collection and addition always takes priority over imports.
You might also want to ask on OpenStreetMap Help Forum.
The definitive answer for any British administrative area is Ordnance Survey's Boundary Line product.
From Euro constituencies to council wards, Boundary-Line™ maps every administrative boundary in detail for you. And what's more, it's completely free to download and use.
Also please note that Wales and England are both countries and are completely ...
You can check out the underlying data, which can help to understand what is what, and if you know the area, what may be mis-tagged.
The "dashed brown line" is a grade3 track:
Mostly solid. Even mixture of hard and soft materials. Almost always an unpaved track.
Interesting, at the end of the dashed line there is a "turning circle", according to the map ...
The OSMData Land Polygons include all land areas in the world, which should mean it includes the data you are looking for. It's derived from natural:coastline rather than place:island, so it shouldn't have the same gaps for larger islands but may be excessively large and unwieldy. You may be able to pare it down or recreate it on a regional basis based on ...
The National Transportation Atlas Database provides a roadway network and data to accomplish this:
NTAD Liner Notes
Highway Performance Monitoring System - This includes data for speed limits (795 MB)
National Highway Planning Network (173 MB) - This is the network used to tie data together.
National Transportation Atlas Databases 2015 - This includes ...
The Education Policy and Data Center (EPDC) collects and summaries education related data from 200 countries in the world. While I don't believe they publish school location data, they do publish the sources of their data, which include link's to the countries dept. of education, census/demographic data, etc.
geojson.io supports kml. it also allows you to import to github or gist.github
edit: it doesn't have all of your requirements but the integration into github should allow you to do most except for the gpx
end results in gists: all of these .geojson maps were rendered via kml files from geojson.io
step by step:
Wikidata have some place name but those are only for notable locations
Japanese government have a Gazetter of Japan which contain translation of ~4K place name in Japan http://www.gsi.go.jp/kihonjohochousa/gazetteer.html
Japanese government have also published a guide that indicate how to romanize Japanese place names. http://www.gsi.go.jp/common/000111876....
The main issue here is relates to the principal of 'derived data'.
In the example given Joe has opened up Google maps and clicked on a pixel that he has estimated as being the location of the Eiffel Tower. However, his decision to click on that pixel is not quite the arbitrary decision he might think it to be. While Joe may have a personal knowledge that ...
I think the issue may be that the political boundaries won't include water and lakes.
Here are some options
check out this long blog post and corresponding dataset
download entire Ireland from OpenStreetMaps and then use osmfilter to select only certain tags (something like boundary=admin_level=6 and natural=water). See more details here.
some official ...
Why not use OSM Buildings data?
Microsoft released US Building Footprints dataset but you are going to want to ensure accuracy. I've read/seen examples where it is not 100% accurate.
OSM Buildings References:
Fetching Building Data with OSM
Extracting Building Footprints from OpenStreetMap
How to Download OSM 3D Building Data
My way of approaching this would be to download the OpenStreetMap .pbf files directly from a source that regionally subsets the OSM data and then convert it to whatever format works best.
A great source for raw OSM data is Geofabrik.de. They have regionally subdivided .pbf files that can be easily converted to anything that can be read/written by gdal/ogr. ...
Many Bay area companies are included in the SV map, despite its name.
You can access the raw data as a json (archive)
Data model looks as follows:
If you want to go for Leaflet and offline (Raster) Tiles, you can checkout https://gitlab.com/IvanSanchez/Leaflet.TileLayer.MBTiles
For non-commercial products you can get free map tiles from https://openmaptiles.org/ (sign-up required).
Check out Old Maps Online: https://www.oldmapsonline.org/. They have an interactive map of the world, which you can use to locate georeferenced historic maps.
They have many more old maps that are waiting to be georeferenced. Anyone can volunteer to help georeference them.
An organization can bulk-upload un-geoereferenced maps to their collection.
Once a ...
OpenCycleMap data are available as a layer on OpenStreetMap.
The OpenCycleMap global cycling map is based on data from the OpenStreetMap project.
The map is updated every few days with the latest data from OpenStreetMap.
Thus, see this similar question on help.openstreetmap.org.
You can try Overpass API, if your area is small enough. ...
Wandermap.net has an option to "export to GPS" which I would expect to be give you a .gpx file.
The OSM wander map you linked to is drawing its trails from https://hiking.waymarkedtrails.org and its cycling routes from https://cycling.waymarkedtrails.org. Here you can download a trail as .gpx or .kml format.
There are open source softwares such as QGIS ...
I can only validate this method for Germany and by using QGis 2.14 but here my result:
Download the OSM data of the country of your choice (I used Germany) and look for osm_transport.shp.
Select the train_stations from fclass attribute (this can also be the last step) with "fclass" = 'railway_station'
run multiple selections with this expression: "name" ...
Is this what you are looking for ?
Not data but information about the country.
I have seen entire changesets to be wiped out of OSM because someone traced over Google's streets or even copied just the street names.
If collecting a street name from Google Maps (manually even) can cause a changeset to be reversed, my guess is that collecting coordinates for POIs (Points Of Interest) can cause the reversal of the changeset - probably ...