I am trying to use Mapbox to calculate the duration between two locations however the examples here are incomplete (at least with my limited experience). I would like to connect to this API using server-side Java, however I can't even get a basic example working in javaScript, Python or simply in the address bar in my browser.
I can get an example working in my browser using this url and substituting in my API key:
https://api.mapbox.com/geocoding/v5/mapbox.places/Chester.json?country=us&access_token=pk.my-token-value
However I can't get a similar example working with the distance API. The best I can manage is something like this:
https://api.mapbox.com/distances/v1/driving/[13.41894,52.50055],[14.10293,52.50055]&access_token=pk.my-token-value.
But I have no idea how to format my coordinates as I can't find a single example.
Has anyone been able to get this working. Ideally in Java, but client-side JavaScript or a valid url would be a great start.
I should also add that I can't get the JavaScript or Python ones working as they rely on external librarys that aren't referenced anywhere in the documentation!.
Thanks in advance.
Looks like you can provide a list of 2 or more semi-colon separated coordinates:
https://api.mapbox.com/optimized-trips/v1/mapbox/driving/13.41894,52.50055;14.10293,52.50055?access_token=pk.your_token
returns:
{
"code":"Ok",
"waypoints":[
{"distance":9.0352511932471,"name":"","location":[13.418991,52.500625],"waypoint_index":0,"trips_index":0},
{"distance":91.0575241567836,"name":"Berliner Chaussee","location":[14.103096,52.499738],"waypoint_index":1,"trips_index":0}
],
"trips":
[
{"geometry":"}_m_Iu{{pA}ZuQ}Iad#}cAk^jr#etOdE_iGtTqoAxBkoGnOkiCjR_s#wJ_v#b#}aN|aBogRyVucBiEw_C~r#_eB`Fc`NtP_bAshBorHa#}dCkOe~AmPmrGlPlrGjOd~A`#|dCrhBnrHuP~aAaFb`N_s#~dBhEv_CxVtcBkbBbeRo#l`NzJ`z#mRpr#qOpjCwBpnGoT~lAeEdkGsr#jtOtp#dQ~UjTtDfZf]jS",
"legs":[
{"summary":"","weight":4198.3,"duration":3426.4,"steps":[],"distance":49487},
{"summary":"","weight":7577.8,"duration":3501.3,"steps":[],"distance":49479.7}
],
"weight_name":"routability",
"weight":11776.1,
"duration":6927.700000000001,
"distance":98966.7}
]
}
I don't know if this is better now, but I had to work through it right now and can give you this example
curl "https://api.mapbox.com/directions-matrix/v1/mapbox/driving/9.51416,54.47004;13.5096410,50.0716190;6.8614070,48.5206360;14.1304840,51.0856060?sources=0&access_token={token}"`
This will return the following json for driving durations. I made use of the sources attribute, which is my search lng/lat and all other points are places in my database.
{
"code": "Ok",
"durations": [
[0.0, 29407.9, 34504.7, 24163.5]
],
"destinations": [{
"distance": 131.946157371,
"name": "",
"location": [9.514914, 54.468939]
}, {
"distance": 34.636975593,
"name": "",
"location": [13.509868, 50.071344]
}, {
"distance": 295.206928933,
"name": "",
"location": [6.863566, 48.52287]
}, {
"distance": 1186.975749670,
"name": "",
"location": [14.115694, 51.080408]
}],
"sources": [{
"distance": 131.946157371,
"name": "",
"location": [9.514914, 54.468939]
}]
}
Adding the annotations=distance parameter to the url will return the distances instead of the durations if you need that.
{
"code": "Ok",
"distances": [
[0.0, 738127.3, 902547.6, 616060.8] // distances in meters
],
"destinations": [{ // destinations including the source
"distance": 131.946157371, // result 0
"name": "",
"location": [9.514914, 54.468939]
}, {
"distance": 34.636975593, // result 1
"name": "",
"location": [13.509868, 50.071344]
}, {
"distance": 295.206928933, // result 2
"name": "",
"location": [6.863566, 48.52287]
}, {
"distance": 1186.975749670, // result 3
"name": "",
"location": [14.115694, 51.080408]
}],
"sources": [{ // source where we start from
"distance": 131.946157371,
"name": "",
"location": [9.514914, 54.468939]
}]
}
Related
Is there an easy way to obtain the geolocation data of an autocomplete reply?
Currently only text is returned in a query. How would one read the GPS coordinates for an entry?
https://autocomplete.search.hereapi.com/v1/autocomplete?apiKey=xxx&q=k%C3%B6ln%20&in=countryCode:DEU&lang=de&limit=20&resultType=city,postalCode
{
"title": "Deutschland, Köln, Anschlussstelle Köln-Messe",
"id": "here:af:street:kXSoQ5Ilp2fEnS-ifyMsXD",
"resultType": "street",
"address": {
"label": "Anschlussstelle Köln-Messe, 50679 Köln, Deutschland",
"countryCode": "DEU",
"countryName": "Deutschland",
"stateCode": "NW",
"state": "Nordrhein-Westfalen",
"countyCode": "K",
"county": "Köln",
"city": "Köln",
"street": "Anschlussstelle Köln-Messe",
"postalCode": "50679"
},
"highlights": {
"title": [
{
"start": 35,
"end": 39
}
],
"address": {
"label": [
{
"start": 16,
"end": 20
}
],
"street": [
{
"start": 16,
"end": 20
}
]
}
}
},
The idea of autocomplete is to provide key-by-key input completion for the end user. We believe the end user can decide based on the text response and does not need to show the position on the map. Only for the result that the user clicks on a lookup needs to be requested from the application which then shows the complete address including position.
So to get the geolocation, you need to use lookup endpoint while the user clicks, e.g: https://lookup.search.hereapi.com/v1/lookup?id=here:af:street:kXSoQ5Ilp2fEnS-ifyMsXD&apiKey={{YOUR_API_KEY}}
In addition, you can evalaute the autosuggestion endpoint (which contains the position info) and see if it can meet your requirement: https://developer.here.com/documentation/geocoding-search-api/dev_guide/topics/endpoint-autosuggest-brief.html
I'm trying to get the distances between one source point and one or more destination points, I'm using the OSRM API to accomplish this. However, the distances being returned are way off.
Source coordinates:
-2.2314725 | 53.4832925
Destination
-2.2315072 | 53.483238
Performing the following request:
http://router.project-osrm.org/table/v1/driving/-2.2314725,53.4832925;-2.2315072,53.483238?sources=0
The distance between the two points should be around 41km, but the result doesn't match at all.
Am I missing something blatantly obvious?
Below is the output from the above request:
{
"durations": [
[
0,
1.3
]
],
"destinations": [
{
"hint": "DBhtiw0YbYteAAAASwAAAAwAAAARAAAAQMh8QZccSEFqRAFARVYzQF4AAABLAAAADAAAABEAAABqpgAAg_Pd_0MXMANP893_HRcwAwEAXxOHnFES",
"distance": 5.459720867300434,
"name": "",
"location": [
-2.231421,
53.483331
]
},
{
"hint": "DBhtiw0YbYtRAAAAWAAAAAwAAAARAAAA27FaQUMzakFqRAFARVYzQFEAAABYAAAADAAAABEAAABqpgAAnPPd_zcXMAMt893_5hYwAwEAXxOHnFES",
"distance": 11.644459328154321,
"name": "",
"location": [
-2.231396,
53.483319
]
}
],
"sources": [
{
"hint": "DBhtiw0YbYteAAAASwAAAAwAAAARAAAAQMh8QZccSEFqRAFARVYzQF4AAABLAAAADAAAABEAAABqpgAAg_Pd_0MXMANP893_HRcwAwEAXxOHnFES",
"distance": 5.459720867300434,
"name": "",
"location": [
-2.231421,
53.483331
]
}
],
"code": "Ok"
}
There are two issues:
You probably mixed latitude and longitude. -2.2314725, 53.4832925 is somewhere in the ocean whereas 53.4832925,-2.2314725 is in Manchester. Sorry, I was wrong. OSRM expects lon,lat.
The two locations are almost identical. They are only 7 meters apart.
i'm new to the topic MongoDB and have 4 different problems importing a big (16GB) file (jsonl) into my MongoDB (simple PSA-Cluster).
Below attached you will find a sample entry from the mentiond JSON-Dump.
With this file which i get from an external provider I actually have 4 problems.
"hotel_id" is the key and should normally be (re-)named as "_id"
"hotel_id" should not be treated as string rather than as Number
"location" is not properly formatted (if i understood correctly the MongoDB Manual) as GeoJSON as it should be like
"location": {
"type": "Point",
"coordinates": [-93.26838,37.15845]
}
instead of
"location": {
"coordinates": {
"latitude": 37.15845,
"longitude": -93.26838
}
}
"dates" can this be used to efficiently update just the records which needs to be updated?
So my challenge is now to transform the data according to my needs before importing the data or at time of import, but in both cases of course as quickly as possible.
Therefore i searched a lot for hints and best practices, but i was not able to find a solution yet, maybe due to the fact that i'm a beginner with MongoDB.
I played around with "jq" to adjust the data and for example add the type which seems to be necessary for the location (point 3), but wasn't really successful.
cat dump.jsonl | ./bin/jq --arg typeOfField Point '.location + {type: $typeOfField}'
Beside that i was injecting a sample dump of round-about 500MB which took 1,5 mins when importing it the first time (empty database). If i run it in "upsert" mode it will take round-about 12 hours. So i was also wondering what is the best practice to import such a big JSON-dump?
Any help is appreciated!! :-)
Kind regards,
Lumpy
{
"hotel_id": "12345",
"name": "Test Hotel",
"address": {
"line_1": "123 Test St",
"line_2": "Apt A",
"city": "Test City",
},
"ratings": {
"property": {
"rating": "3.5",
"type": "Star"
},
"guest": {
"count": 48382,
"average": "3.1"
}
},
"location": {
"coordinates": {
"latitude": 22.54845,
"longitude": -90.11838
}
},
"phone": "555-0153",
"fax": "555-7249",
"category": {
"id": 1,
"name": "Hotel"
},
"rank": 42,
"dates": {
"added": "1998-07-19T05:00:00.000Z",
"updated": "2018-03-22T07:23:14.000Z"
},
"statistics": {
"11": {
"id": 11,
"name": "Total number of rooms - 220",
"value": "220"
},
"12": {
"id": 12,
"name": "Number of floors - 7",
"value": "7"
}
},
"chain": {
"id": -2,
"name": "Test Hotels"
},
"brand": {
"id": 2,
"name": "Test Brand"
}
}
According to this Map Provider Configuration Changes, I use this configuration to add HERE maps in GeoMap:
var oMapConfig = {
"MapProvider": [{
"name": "HEREMAPS",
"type": "HERETerrainMap",
"description": "",
"tileX": "256",
"tileY": "256",
"maxLOD": "20",
"copyright": "Tiles Courtesy of HERE Maps",
"Source": [{
"id": "s1",
"url": "https://1.base.maps.cit.api.here.com/maptile/2.1/maptile/newest/reduced.day/{LOD}/{X}/{Y}/256/png8?app_id=MY_ID&app_code=MY_CODE"
}, {
"id": "s2",
"url": "https://2.base.maps.cit.api.here.com/maptile/2.1/maptile/newest/reduced.day/{LOD}/{X}/{Y}/256/png8?app_id=MY_ID&app_code=MY_CODE"
}
]
}],
"MapLayerStacks": [{
"name": "DEFAULT",
"MapLayer": {
"name": "layer1",
"refMapProvider": "HEREMAPS",
"opacity": "1.0",
"colBkgnd": "RGB(255,255,255)"
}
}]
};
this.oMap.setMapConfiguration(oMapConfig);
this.oMap.setRefMapLayerStack("DEFAULT");
But my map is in black and white style:
What I want is standard map:
In Configuring HERE (formerly Nokia, NAVTEQ) maps, new server URL is provided, I've tried this, but not working.
{
"id": "s1",
"url": http://1.maps.nlp.nokia.com/maptile/2.1/maptile/newest/normal.day/{LOD}/{X}/{Y}/256/png?app_id=YOUR_APP_ID&app_code=YOUR_APP_CODE"
}, {
"id": "s2",
"url": "http://2.maps.nlp.nokia.com/maptile/2.1/maptile/newest/normal.day/{LOD}/{X}/{Y}/256/png?app_id=MY_APP_ID&app_code=MY_APP_CODE"
}
And failed to find MapProvider configuration documentation in setMapConfiguration of GeoMap
Just change reduced.day to normal.day in your map URL, and you'll get colored map:)
edit:
Please refer to https://developer.here.com/documentation/map-tile/topics/examples.html for detailed APIs
Currently when I would like to retrieve address for coordinates I make following request as an example:
GET http://api.tiles.mapbox.com/v3/examples.map-zr0njcqy/geocode/-114.0701,51.0495.json
I get address information up to the street level but NO house number. Is there way to retrieve it as well? I think it's such an obvious need and cannot think of any problems extracting this date when you already extracted the rest.
{
"attribution": {
"mapbox-places": "<a href='https://www.mapbox.com/about/maps/' target='_blank'>© Mapbox © OpenStreetMap</a> <a class='mapbox-improve-map' href='https://www.mapbox.com/map-feedback/' target='_blank'>Improve this map</a>"
},
"query": [
-114.0701,
51.0495
],
"results": [
[
{
"id": "street.31973701",
"lat": 51.0476559,
"lon": -114.0703042,
"name": "3 St SW",
"type": "street"
},
{
"bounds": [
-114.36183200000002,
50.84361600000001,
-113.87432100000002,
51.217528999999985
],
"id": "mapbox-places.10008775",
"lat": 51.03095,
"lon": -114.108491,
"name": "Calgary",
"type": "city"
},
{
"bounds": [
-120.00138351899996,
48.99667665000002,
-110.004763853,
60.00042158400004
],
"id": "province.2553712403",
"lat": 54.872006,
"lon": -115.003552,
"name": "Alberta",
"type": "province"
},
{
"bounds": [
-141.00275000000013,
40.043430830999895,
-47.69751888999983,
86.45371111000011
],
"id": "country.1833980151",
"lat": 76.304456,
"lon": -105.801333,
"name": "Canada",
"type": "country"
}
]
]
}
#rbrundritt is correct.
Most mapping applications (Google, Bing, etc) merely interpolate the location when given a street address. They are aware of the starting and ending address on a given block and then make an educated guess as to where the address you are search for is located on that block based on that. They don't actually store the outlines and the addresses of each property.