Using the MKReverseGeocoder or GoogleAPI or MapKit...
Is there a simple way to turn a latitude/longitude into "nearest major cross-streets"?
A user might not have any idea where "12345 Pineapple" is located... so I want to show something like "Pineapple and Main"... or (larger, major roads) like "US-140 and Hwy 76".
I don't really care what "major" is defined as... perhaps any road with higher speed limits... or more than 3 lanes... etc.
I don't really care what "close by" is defines as... perhaps within 0-10 miles... or just "closest found".
There is not a built in method to do this with MapKit or the Google API.
See this SO question for some reading about this in relation to the GoogleMaps API:
Is there a way to find the nearest cross streets for an address?
Related
I'm looking to download the geometries of all emerged land (everything within the coastal line) in Python using OSMNX, but can't seem to find a general tag that would do it.
Right now, I'm using:
t = {'landuse':['commercial', 'industrial', 'residential', 'farmland', 'construction', 'education', 'retail', 'cemetery', 'grass', 'garages', 'depot', 'port', 'railway', 'recreation_ground', 'religious', 'yes', '*'], 'leisure':['park']}
land = ox.geometries_from_polygon(bbox, tags=t)
But I still have many holes...
So, in short, is there an OSM tag to grab all emerged land?
The additive approach, i.e. combining all sorts of landuses, won't get you all the way to the result you want. As you've noticed, you'll end up with white spots. You could get closer by considering even more tags, such as some values of the natural=* key, but ultimately there simply is land that is not covered by any such polygon in OSM.
Instead, you should look at OSM coastline data. As this can be tricky to process, you might want to get pre-processed data from osmdata.openstreetmap.de, such as their land polygons.
I have vertices people, usertype, and location. People has outgoing edges people_location and people_usertype. People has property 'name', usertype has property 'activationStatus', and location has property 'name'.
I want to create a list that looks like this:
[[1]: https://i.stack.imgur.com/lKzZL.png]
I want the count of people, by location, for activationStatus "active" and "inactive" where the location has "US" in it.
This is all I have only for count of people by location where the location 'name' begins with US:
g.V()hasLabel('people').out('people_publicisofficelocation')
.filter(has('name',between('US','UT')))
.groupCount().by('name')
It is running but not yielding results.
You can simulate 'starts with' behavior in versions of TinkerPop prior to 3.4 using something like has('name',between('US','UT')) so you could replace the filter line above with that. If the graph implementation you are using supports TinkerPop 3.4 there are additional text predicates you can use for begins with, ends with and contains.
As others have said if you can post some sample addV() and addE() steps that build part of your graph it will be easier to give a more precise answer.
This worked for me!
g.V().hasLabel('Location').filter(has('name',between('US','UT')))
.project('Name','Active', 'Inactive', 'Total') .by('name') .by(__.both('people_location').out('people_usertype')
.where(values('activationStatus').is(eq('Active'))).count()) .by(__.both('people_location').out('people_usertype')
.where(values('activationStatus').is(eq('Inactive'))).count())
.by(__.both('people_location').out('people_usertype').count())
I've searched for solution for that problem on here-api documentation but I can't really find it out ! I'm starting doubt if this even possible.
Ok so basicly what i need to know for now:
1. Is this even possible on this platform ?
2. Using exactly which 'module' (eg. PLATFORM DATA EXTENSION,BATCH GEOCODER)
There is no straight solution to get all districts in a city since district concept varies from one place to another(country-specific). Still you can try one of the below options:
administrative-areas-buildings category in places api
city-town-village category in places api
retrieveAreas mode in geocoder api (apply bbox or increase the radius of prox parameter and see if it works for your location)
Search Text in geocoder can also be used if you are search for districts which match a regex
You can check if the above 1) and 2) are applicable to your location using https://places.demo.api.here.com/places/v1/categories/places?at=41.8369%2C-87.684&app_id=DemoAppId01082013GAL&app_code=AJKnXv84fjrb0KIHawS0Tg
I am looking to use Google Places autocomplete to help user search for places near him/her. When using autocomplete in the example below, I get establishment that are very far from the location.
https://maps.googleapis.com/maps/api/place/autocomplete/json?input=pizza&types=establishment&location=37.340871,%20-122.029642&rankby=distance&key=mykey
I assume Google considers the popularity of the establishment in the result set. My question: is there a way to get back the list sorted by proximity to the location, i.e. "turn off" the popularity index? (and to get similar functionality to the nearbysearch with autocomplete) ?
Why not just using nearbysearch? because nearbysearch does not perform well when only part of the name is entered as keyword ( I assume nearbysearch assume the 'keyword' parameter is the complete word).
Thanks for your help!
I want to search for places such as "Apple Store", "Italian Restaurant" etc. and also for address such as "5th Ave, New York, NY, United States".
How can I search for places and set MKPlacemark for each place I find?
If you are worried about requests limit for Google Maps API, you can use some of open source maps API instead perhaps, like Nominatim API , look at http://wiki.openstreetmap.org/wiki/Nominatim
From iOS 6.1 Apple introduced a new search API - MKLocalSearch. You create a MKLocalSearchRequest using string and region to search in (the region is just a hint for the search, it doesn't guarantee results will fall within this region) and use this request to initialise a MKLocalSearch, which asynchronously gives you the results in an MKLocalSearchResponse object. It was only introduced in january, so it has it's issues at this stage - you only ever get 10 results per search, plus some of the results are strange, but it's definitely worth checking out. There's also no way to specify the type of object (town/business/landmark etc.) you're searching for, which is a shame. Here's a cool tutorial. Note that the more precise the region you supply the better the results.