I'm using the following line in order to get geolocated tweets that contain a certain keyword. (I'm using the word Madonna)
https://stream.twitter.com/1.1/statuses/filter.json?track=Madonna&locations=-180,-90,180,90
My problem is that result is not consisted by geolocated tweets that contain the keyword Madonna, but is consisted by geolocated tweets in general.
Any help on what I'm doing wrong here?
"-180,-90,180,90" - it is worldwide location;
Currently for use "AND" instead of "OR" in Twitter stream API you need make request like this: https://stream.twitter.com/1.1/statuses/filter.json?locations=-74,40,-73,41 and filtered results by "Madonna" inside your app after. Unfortunatly, I can not find another way for today;
Filtering by locations can contain:
If coordinates is empty but place is populated, the region defined in
place is checked for intersection against the locations bounding box.
Any overlap will match.
Another, somewhat hack-y solution to this, is you can have a track key work that would never match, such as "dkghaskldfnascjkawenaf", and add a location bounding box.
The API does an OR relationship between tracking and location, you'll only receive tweets from within (or very nearby) the bounding box
Related
I want to get only results that are related to health and for that I used below api.
https://maps.googleapis.com/maps/api/place/search/json?location=23.0225,72.5714&radius=500&types=hospital&sensor=false&key="API_KEY"
Above API gives me the results related to Health but I don't want to pass location lat long Parameter.
Actually I want to search it with "input" Param like below.
https://maps.googleapis.com/maps/api/place/autocomplete/json?input=Ahmedabad&types=hospital&radius=500&key="API_KEY"
But above give me error like below
{
"predictions" : [],
"status" : "INVALID_REQUEST"
}
How can I get this type of results?
Thanks in Advance.
The places autocomplete request from your question has several issues.
https://maps.googleapis.com/maps/api/place/autocomplete/json?input=Ahmedabad&types=hospital&radius=500&key=API_KEY
If you remove the location parameter, you should remove the radius parameter as well. It doesn't make sense without location.
hospital is not allowed value in types filter of autocomplete. If you check the documentation, you will see that the only possible values are:
geocode
address
establishment
(regions)
(cities)
Place autocomplete might return only 5 suggestions. I think you are looking for something different.
Also, be aware that radar search mentioned in the comments is now deprecated and will stop working in June 2018.
https://maps-apis.googleblog.com/2017/06/announcing-deprecation-of-place-add.html
I would suggest having a look at Places API text search. Your query with Places API text search might be
https://maps.googleapis.com/maps/api/place/textsearch/json?query=Ahmedabad&type=hospital&key=YOUR_API_KEY
The text search can return up to 60 results divided into pages of 20 results. For your particular example, I got the following output
Hope this helps!
Is there any way to give Google Maps API or a similar API a town name and have it return a random address inside the town? I was hoping to be able to get the data as a JSON so I could parse it with SwiftyJSON in XCode and use it, but I can't seem to find any way to get the address in the first place. If coordinates would be easier to get, then those would work too, as long as its random and inside the town borders.
You can try to use Google Places API Web Service. It allows you to query for place information on a variety of categories, such as: establishments, prominent points of interest, geographic locations, and more. You can search for places either by proximity or a text string. A Place Search returns a list of places along with summary information about each place.
A Nearby Search lets you search for places within a specified area. You can refine your search request by supplying keywords or specifying the type of place you are searching for.
A Nearby Search request is an HTTP URL of the following form:
https://maps.googleapis.com/maps/api/place/nearbysearch/output?parameters
where output may be either xml or JSON values.
And if you want either address or coordinates, you can use Geocoding for it. Here i found a tutorial on how to use Geocoding in IOS.
I want to get images of cities when city name is entered in search field in iOS. I am using flickr API but whenever I enter any longitude and latitude values, I only get returned an empty array. What should I do. I am using this URL:
http://api.flickr.com/services/rest/?method=flickr.photos.geo.photosForLocation&api_key=e3d577010e5979a2ad2a22714abd901e&lat=40.6700&lon=73.9400&format=json&nojsoncallback=1&auth_token=72157638668602974-e1a3a3aa1e6d3dd8&api_sig=a0233b016c863b1662aeb21a664c351a
Please tell me what should I do. any help appreciated
I suspect that you are seeking too precise a match on your lat-long. Use the &accuracy parameter to specify a less precise match. (The default value of 16 specifies a very precise match.) Flickr suggests a value of 11 to match at the city level, so add
&accuracy=11
to your URL.
Update
I have not had any luck retrieving images with flickr.photos.geo.photosForLocation, but I have retrieved images by lat-long with flickr.photos.search. Note this comment in the documentation:
Geo queries require some sort of limiting agent in order to prevent
the database from crying. This is basically like the check against
"parameterless searches" for queries without a geo component.
A tag, for instance, is considered a limiting agent as are user
defined min_date_taken and min_date_upload parameters — If no limiting
factor is passed we return only photos added in the last 12 hours
(though we may extend the limit in the future).
Also remember that longitudes of places in the Western Hemisphere are specified as negative numbers.
I am developing a search engine modeled after google in my spare time.
I am using the original google research paper located at http://infolab.stanford.edu/~backrub/google.html as my guideline.
As i am developing a very very simplified version of google i am not using pagerank algorithm at all for now.
So far i have developed a simple parser and indexer whose result is that i have an inverted index containing number of hits, hit location and document hash against each unique word.
Now i am trying to develop a query engine. However i am finding it hard to identify the most relevant document for a multi token query.
Specifically lets say i am having difficulty in calculating the proximity of the query words to each other in a document.
I have thought of a algorithm that scans each document for the query words and calculates the proximity score based on how much the query words are close to each other however i suspect this would take a long time, and i think there is a better way to do this of which i am not aware and the research paper is too general to get an answer.
I am just looking for a pointer in the right direction.
Any sort of help would be very very very appreciated.
Look at the inverted index section of "Search Engine Indexing" on Wikipedia http://en.wikipedia.org/wiki/Search_engine_indexing#Inverted_indices
Basically, you want to save the position information of a given word within a document, this makes it easy to compute proximity. This information is saved in the index.
The key point is to index your documents so you don't need to scan them every time. The search for keywords is done on the index that points to the documents containing those keywords.
P.S. don't forget that you're trying to keep the index as small as possible, so storing gaps or differences for word positions will save same memory (as explained in: J. Zobel, A. Moffat - Inverted Files for Search Text Engines at page 23).
Looking for a way to get a list of telephone area codes for a given latitude and longitude (and if necessary a given intl. code.) Note, I'm not talking about international dialing prefixes but the area codes within them.
For example, Denver Colorado is covered by the area codes 303 and 720. It's at 39.739 -104.985 and is in NANP 1. So given 39.739,-104.985,1 I'd like to get back [303,720].
Libraries, web services, DB's, or raw data that needs to be parsed into a DB, e.g., a web page of shape points, are all fine and the more global coverage the better, but just NANP 1 would be a great help.
Note I already use MaxMind and could turn the lat-lng into a fake IP and use that as the lookup key, but MaxMind claims only U.S. area codes (whether they truly mean U.S. or actually NANP I haven't tested) and seemingly only 1 per location (e.g. just 303 for Denver.) So it's a possibility, just not a great one.
UPDATE: I found some more relevant information, but no definitive solutions so I'm listing it here rather than in an answer:
I was able to find two U.S. databases http://www.area-codes.com/area-code-database.asp and http://www.nationalnanpa.com/area_codes/index.html (50% down the page, MS Access file.) The former includes lat/lng for $450 and the latter would require nearest-neighbor matching as KeithS talks about (it's probably the same DB underlying the NANPA City Query he found.)
Additionally I found information that implies Teleatlas has area code boundary maps and that ESRI includes area code shape files with copies of ArcGIS. Maponics seems to have data available: there's a Google Maps implementation of Maponics' data at http://www.usnaviguide.com/areacode.htm.
Wow. You'll definitely need some sort of pre-existing database of points. My first thought was ZIPList5 Geocode. It includes lat-long data for each active U.S. ZIP code, so you can throw this data in a DB table, index the hell out of it, and search by just about any geographic info you'd have access to. You can buy one copy for $40, with enterprise-level use for $100. Only problem is that this DB has only the "primary" area code for each ZIP code, so metro areas that have more than one (Dallas, Chicago, NYC) aren't going to show all of them.
You could try a two-pronged approach with some free data I found: for a given latitude and longitude, do a nearest-neighbors search of the data in the USGS Geographic Names Information System; it includes information on every human habitation center, and every named landmark feature, with lat/long coordinates of their centers. You now have your lat/long point mapped to the nearest town/city, ZIP code, county, and state. Now, you can compare that against this list of U.S. Area Codes, to find area codes matching any or all of the identifying information from the USGS. This is all free, and will eventually get you what you need, but you'll probably have to do some work to "massage" the two sets of data into something you can efficiently cross-reference, and/or you'll need to implement a good "search engine" that will accurately find nearest-neighbor named points, and then find area codes for locations matching the names.
One more thing to look at is NANPA, which administers area code assignment to begin with. I'm sure they have a more comprehensive downloadable DB, but the only free public access I could find was this search page, which will find area codes for any city with >20k people. You could turn your lat/long data into a city and state, and then hit this search page: NANPA City Query
Here is an option:
http://geocoder.ca/39.739,-104.985?geoit=xml
<TimeZone>America/Denver</TimeZone>
<AreaCode>720,303</AreaCode