I need to calculate the distance between two points in a map in the same way as Google Maps' distance matrix and get direction APIs.
Since I have to use offline more, I have to work with OpenStreetMap data.
I have downloaded the planet.osm file for the map data. How do I calculate the distance between two points with the OpenStreetMap file?
There are already several routing solutions for OpenStreetMap (OSM), including various web services, standalone programs, and libraries. You are probably interested in one of the many offline routers.
Related
I have two Open Street Map node IDs. Is there any API provided by Mapbox or Leaflet which could draw a PolyLine or LineString given the two node IDs?
I am not able to find any reference to OSM IDs anywhere in Mapbox documentation, apart from here and it does not detail how to use the OSM IDs for ourselves to draw lines on the map.
What I want to do is given 2 OSM IDs, I want to highlight the road segment connecting those OSM IDs. I can't go for things like Leaflet routing machine since the number of such lines are too many, with small distances. I can't run routing for all the edges.
Since you say "I can't go for things like Leaflet routing machine since the number of such lines are too many, with small distances. I can't run routing for all the edges." I'm excluding all solutions calling an external routing API, instead you can do your own internal routing.
Use the OSM Overpass API to get the long,lat points for those nodes
In Mapbox GL JS fitBounds to those two nodes and do map.querySourceFeatures to get the roads as GeoJSON LineStrings
then compute a network graph from this and use Dijkstra's algorithm to get the shortest path between your two OSM nodes.
I need a framework which takes a set of latitude longitude points and plots on a world map, grouped by country having the count of points as a marker on each country. Grouping here is the count of latitude longitude points in a country.
And as I drill down into a country, the clustering should change to state based one. And the next level, to districts.
Leaflet marker cluster is something very similar to what I have asked for, but the grouping is based on proximity and it doesn't consider country or state boundaries. That is, they are not region aware.
Regionbound.com has tweaked in some code in the leaflet code for making it region aware,
Sample marker definition:
var marker1 = new L.marker([-37.8, 145], {regions: ["Asia-Pac", "Australia", "VIC", "Melbourne"]} );
But the sample code says, every latitude longitude must be defined along with some extra parameter containing place information.
I could get the place information using reverse geocoding, but reverse geocoding every latitude longitude is time consuming right.
Highmaps provided by Highcharts is one another solution, but there, every country has code which should be assigned a value[count of point coordinates belonging to that country].
But all I have is latitude longitude points, no country or state information.
Thus, I need something which takes only a set of latitude longitude and does clustering based on country, state, district depending on the zoom level.
You have 2 separate needs in your questions:
Map your lat/lng coordinates to appropriate administrative areas. E.g. through the reverse geocoding that you mention.
Display "clusters" on those administrative areas depending on zoom level.
As for point 1, you know that lat/lng points do not say by themselves which administrative area(s) they belong to. So "reverse geocoding every latitude longitude" is a mandatory step. Whether time consuming or not depends on the solution you choose to perform this operation.
If I understand correctly, you would like a "framework" that could do that automatically for you. But frameworks are usually data agnostic, and if they do not have data about boundaries of those administrative areas, they cannot help you.
You may rather look for "services" (like the Mapbox Geocoding API that you mention) or software that would already have such data. It is not time consuming if you can program the lookup (or perform "bulk" operations) and if you are not limited by the requests rate and your amount of points to map (which may be the case with Mapbox).
You could very well set up your own application to perform this mapping:
As for the dataset for administrative areas boundaries, you would probably be interested in links in this post: Are there any free administrative boundaries available as shapefiles? If your points are limited to a few countries, it will be easier for you to find the appropriate data source(s).
Once you have that data, many GIS software should be capable of mapping your lat/lng points to the areas they belong to. This would be mainly for a "one-shot" operation, if your set of points do not change much.
A "web-compatible" alternative would be for example to use Leaflet with point in polygon for Leaflet plugin. You would need your boundaries data converted to GeoJSON format first. Again, GIS software should be capable of doing so, or many online services as well (search for "convert geojson" for example).
A server-side solution would avoid having to manage the entire boundaries data through network and in client browser (if you need to perform the mapping dynamically). I am sure many GIS servers are capable of performing this operation, once they are fed with the boundaries data.
For point 2, once you have completed the above step, I think you would have many options available, including those you mention (RegionBound, Highmaps).
Even with standard mapping libraries (Leaflet, OpenLayers 3), you would just need to build your "clusters" (markers on administrative areas with a number saying how many points are in there), like you have to do with Highmaps anyway for example.
Computing the number of "clustered" point is as easy as filtering your points per area name / code. Then switch the clusters to the desired administrative level when the map zoom changes.
So the key is really to determine first to which areas your points belong to (point 1).
Then a small question would rise about where to place the "cluster" marker:
On centroid of the administrative area? You need the coordinates of that centroid from your data source, or a good algorithm to compute it from the boundaries (good luck on that…).
On "center" of the bounding box of the area? Leaflet can easily compute that: from your area vector shape, you would do myShape.getBounds().getCenter().
On barycentre / centroid of the clustered points? This is what Leaflet.markercluster and RegionBound do (do not know for Highmaps).
Good luck!
I am going to design an Android application and I will be needing the distances of the pathways inside our university(pathways between buildings)
I read about OSM(OpenStreetMap) and tried it. It is a map which is editable which means anyone can contribute to that map(like a wikipedia map version).
It has many routing services that give routes and directions between two point(start and end).
There is a routing service named GraphHopper and it is very easy to use. I can just drag and drop the start and end pt and it gives the distance(km) between the two pts.
What I want to know is how did they come up with the distance?
Is the distance reliable and accurate?
Any help is greatly appreciated because I want to use the distances for my Android app and I need to know if these distances have basis.
The distance is 'accurate' in the sense that it correctly processes the existing information from OpenStreetMap and correctly adds road segments for the final route. You can just try for your local area and compare to your own knowledge.
There could be mapping errors, where a road is incorrectly mapped. And there could be also roads missing and so the router uses a detour making the path unnecessarily longer. Also there are different modes like for cars or bikes or fastest and shortest where you get a different distance between two coordinates.
I have a program that uses the API to get altitude data of the screen by running through hundreds of thousands of latitude and longitude points. However, Google Earth's data refines itself as one zooms in. So I need to know the minimum altitude I can use to get the best data Google has to offer. I am at a loss to figure out how to do this.
Furthermore, I assume that this depends on the part of the world. I'm going to assume the best part of the world, always.
Thanks for any feedback.
There is no API for determining the quality of the underlying imagery. While this question is not an exact duplicate of Get ground altitude in a reliable way, the same general algorithm can be applied:
Zoom to the required lat/lon at altitude Z
Wait for the imagery to come in (as described in the linked question)
Zoom in "closer" (Z - [delta])
If Google has better imagery, the loaded percentage should drop, wait for it load
Repeat steps 3-4 until the progress is always ~100% (e.g., until no loading is required)
Even with this hack, I'm not sure it will yield reliable results. Your question is flawed for several reasons:
What does "the best data Google has to offer" mean?
You have a lat/lon coordinate. That's a single, infinitely small, point on the Earth
Raw satellite imagery typically covers large sections (many lat/lon points), so the "best" height would be to set the GE camera so that your view convers exactly one satellite image tile
Why do you need the "best" data?
Satellite imagery is expressed in terms of "area covered by a single pixel" (e.g., 1m = 1 pixel in the image covers 1sq m)
Knowing this, the camera height will vary image by image, even for tiles within the same satellite imagery data set (it shouldn't vary much -- but it could slightly.)
Are you trying to cache the imagery off the globe? If so, you should carefully review the TOS to make sure you're not in violation.
Note that if you are just looking to obtain satellite imagery -- there are many good (free) sources. USGS National Map Viewer should be able to get you pretty good imagery for the US (including territories).
Is there a way to create a heat map in google earth, so areas with higher values (of some specified parameter, such as population) appear as hotspots?
This seems possible.
For instance, take a look at those few links :
Disclaimer : I've tried none of those
HeatMapAPI.com
And an example
But I'm not sure how you'd do it ; seems related to .NET and a dll in some way... so might not be as nice as it seems...
Density Mapping in Google Maps with HeatMapAPI
Heat Maps for Google Maps - (a.k.a GeoIQ mashup)
Using Google Maps to Produce Heat Maps
You've got a couple of links in those articles too ; some might be interesting too.
My colleague developed an open source java program that will generate 3D heat maps (KML) files for Google Earth from simply formatted XML data files. It may be of use. The entire project code is up at https://github.com/Noblis/OSAT You can ignore the bulk of what's there, and focus on GUIMain and the supporting files. There's sample files and documentation. I'd call it about a 0.5 version - it works, we used it in our studies, but there's some rough edges. It was done for transportation accessibility studies, but you can change the parameters you're graphing to anything you want, run from command line, whatever.
You can use the vertical axis to either view the same parameter as is used for the color OR use it to map an entirely different variable.
Here's two screen shots so you can see what it does:
tool interface:
example 3D output:
You can create polygons in a KML file and set the color of them. You can also make the polygons 3D, with height perhaps representing temperature.
There is also http://www.openheatmap.com, which offers free heatmaps on top of OpenStreetMap from a CSV upload.
Try free API heat maps. A really interesting implementation : http://en.tixik.com/tools/heatmaps
HeatmapTool.com can take a CSV file of coordinates and intensity values to generate heat map tiles for Google Maps.