According to the docs, a list of categories can be passed to the browse api to get specific types of locations/businesses.
https://developer.here.com/documentation/geocoding-search-api/dev_guide/topics/endpoint-browse-brief.html
However, it looks like some results are missing when sending a mix of level 1, level 2, and level 3 categories.
ex: The following lat/lng is the exact location of a bar called Liberty in Austin, TX.
If a level 1 category is passed by itself, then Liberty shows up.
https://browse.search.hereapi.com/v1/browse?at=30.26271,-97.72524&limit=20&categories=100&apiKey=
However, if the same query is sent with the brewery level 3 category passed, then it only returns breweries and Liberty is missing.
https://browse.search.hereapi.com/v1/browse?at=30.26271,-97.72524&limit=20&categories=100,300-3000-0350&apiKey=
Are the docs incorrect/ambiguous or is there something incorrect about how this is being called?
Can you try using code "300-3000-0023" or "700-7460-0115". They are for level3 categories code for tourist attractions and tourist information
https://browse.search.hereapi.com/v1/browse?at=30.26271,-97.72524&limit=100&categories=300-3000-0023,300-3000-0350&apiKey=XXXX
Related
On the google places api site, they have an example query that returns a load of detail:
site:
https://developers.google.com/places/web-service/details
query:
https://maps.googleapis.com/maps/api/place/details/json?placeid=ChIJN1t_tDeuEmsRUsoyG83frY4&key=My-API-Key
Place_id appears to be the key here. So I'm trying to reverse-engineer this example, starting from information that a human being would actually have, to end up with this place_id.
Address from the example:
48 Pirrama Rd, Pyrmont NSW 2009, Australia
Places API query from the address:
https://maps.googleapis.com/maps/api/place/textsearch/json?query=48+Pirrama+Rd,+Pyrmont+NSW+2009,+Australia&key=My_API_Key
The result contains a different place_id:
ChIJ8UadyjeuEmsRDt5QbiDg720
And the place details with that place_id are much poorer than the original example:
https://maps.googleapis.com/maps/api/place/details/json?placeid=ChIJ8UadyjeuEmsRDt5QbiDg720&key=My-API-Key
So what am I missing here? How do I start from human-place information and get to the place_id that has the great place details?
EDIT: why the down votes? Am I trying to do something that isn't allowed?
Thanks,
sff
I think your text search is returning the office building, whereas your first search is returning the Google office within the office building. You can fix your text search by adding the name of the company and removing some of the search terms.
I'm not sure why just adding 'google' to the search term doesn't return the result you want though.
Hello i am using simple google map places api to get near by atms for users. My client lives around new york and for some strange reason api shows zero results for that place, but works fine near me (pakistan) . I searched for it a little and found out it was google's issue and some other places were also experiencing the same problem. But i never quite found any solution for this.
This is the get call i use
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=40.7128,74.1059&radius=10000000&keyword=atm&key=MY_KEY
I would really appreciate the help. Thank you :)
Google place nearby search maximum 50,000 meters (31 miles) . if you try enter more than 50,000 it not work proper.
There is another way for find all ATM in a city. google provide Text Search Requests
https://maps.googleapis.com/maps/api/place/textsearch/json?query=atm+in+Reno,NV,89501,USA&key={API_KEY}
query = keyword + in + city Name
for get city name using latitude longitude
http://maps.googleapis.com/maps/api/geocode/json?latlng=39.52963,-119.81380&sensor=true
For more information how to get city name using latitude longitude
https://developers.google.com/maps/documentation/geocoding/start?csw=1#ReverseGeocoding
for more information about how to use Text Search Requests
https://developers.google.com/places/web-service/search
OR (second way)
There is another way for find all ATM in a city.
Open Google Maps .
create 10-12 or more points latitude , longitude value to trigger
request.
Then use a loop to find all places within these points.
If you want more appropriate results, increase first trigger points
for your requests.
- It is just a logic i created in php.
$triggerPoints = array("lat1,long1", "lat2,long2", "lat3,long3",....);
foreeach(triggerPoints as $tP){
$requestUrl = "https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=$tP&radius=[YOUR_RADIUS_VALUE]&type=[YOUR_TYPE]&name=panera&key=[YOUR_KEY_HERE";
$results = file_get_contents($requestUrl);
//Do what you want with response JSON data
}
SHORT ANSWER: Use logical types with your needs.
In my case i used food types instead of supermarket. In some cases, my local market named A101 wasnt found under supermarkets. To find which keywords is best for you, you can search below url with your location and map_key and find most common keywords under types for each query and use it.
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=40.986527896166244,%2029.24326049097467&rankby=distance&keyword=a101&key=YOUR_MAP_KEY
Imagine you have actions setup for when a user is from a certain demographic/market segment. The filters work a bit like a graph, matching for country, region, platform, operating system, and browser.
By default, you will match any value (if you specify US, you match for all users from the US regardless of region, platform, OS, or browser)
If you specify multiple values for any property of the filter it works like an OR (can be any of the values you specified), for the filter to match all the properties must have at least one match or be empty (accept all), essentially an AND operation.
So we can have:
Segment #1:
Countries: United States, Canada
Segment #2:
Countries: United States
Regions: New York
Platform: Tablets
Segment #3
Countries: United States
Browser: Chrome
Segment #4
Countries: United States
Segment #5
Match all (all filters left empty)
Scenario #1
User from Canada on his Tablet
Result: Segment #1
Scenario #2
User from New York, United States visits from Google Chrome on his Tablet.
Result: Segment #2, because the filter more specifically matches the user (matches country, region, and platform)
Scenario #3
User from Texas visits from his desktop
Result: Segment #4, tie with segment #1 is resolved because Segment #4 only matches United States and is therefore more specific
Work so far
I was thinking I could take each segment and load it up into a graph database that looks something like this
Country -> Region -> Platform --> OS -> Browser -> Segment
Each node either has a value (ex: United States, Chrome, Firefox, etc) and relationships that link it to any node below it in the tree (Country -> Browser is okay, Browser -> Country is not) or is null ("match all").
Each relationship (represented by ->) would also store a weight used to resolve ties. Relationships from a catch-all node get the max weight as they will always lose to a more specific filter.
Example database (numbers on the lines are the weight, lower weight becomes the prefered path)
Potential query
So now I need a query (maybe neo4j can do this?) that does the following:
Find the top level country node with the same value as the user or null
Go through each relationship (sorted by weight in ascending order)
Find the longest path, ties go to the node connected by a relationship with the lowest weight (if the tie is between a relationship to a null/catch-all node, the null node loses)
Continue this loop until we find a segment #
I'm sorry for the long post, it's hard to explain what I'm getting at via text.
What I'm looking for
Am I on the right path to solving this problem?
Are there better ways to go about this?
What would be the best way to store these relationships (graph database?)
How can I build a query that does what I want?
tl;dr: Need a way decent/performant way of finding the longest/most specific path in a graph like data structure. Comments requesting clarification or with any related information/documentation/projects/reading are very welcome
With Neo4j, you can store properties in a relationship, example:
(u1:User{name:"foo"})-[:FRIEND_WITH{since : "2015/01/01"}]->(u2:User{name:"bar"})
I think you should store country nodes this way:
(usa:Country{name: "USA", other attributes...})
So you can find every single country by matching with Country label, and then filter with the name property to get the one you're looking for.
Same for the cities, you can do a simple relationship to store every city :
(usa:Country{ name: "USA"})-[:CONTAINS_CITY]->(n:City{name: "New York", other attributes...})
and then you can add platform etc after the city.
To match a segment related to a certain country, you can do this way (example for Scenario #1) :
Match (c:Country{name : "Canada"})-[*1..2]->(p:Platform{name : "Tablet"})-[*1..]->(s:Segment) return s
Then you can create your segment by using nodes and create relations between them, the only problem may be on this case:
User1 has a Tablet in Canada
User2 has a Tablet in Canada using
Chrome
In this case, because of the depth match on the relationship ([*1..]) the User1 can be on the same segment as User2. The solution is to create intermediate nodes with default values, in case you don't have browser informations for example.
I am using the Google Maps Places library to do a search for nearby hospitals, but it returns results that aren't necessary hospitals (but have 'hospital' as one of their types). However, I've noticed that actual hospitals have a hospital icon on the map, so Google must somehow know which establishments are actually hospitals. Does anyone know if the public has access to this data?
This is the icon I'm referring to: https://www.dropbox.com/s/1jfqcayxavjhlyi/Screenshot%202015-03-17%2017.20.19.png?dl=0
Example of request I'm making:
var request = {
location: self.location,
radius: 20000,
types: ['hospital'],
keyword: 'hospital'
};
Example result that isn't a hospital:
{"geometry":{"location":{"k":44.815958,"D":-68.808244}},
"icon":"http://maps.gstatic.com/mapfiles/place_api/icons/generic_business-71.png","id":"de6e60bd70b90ba4cb86afe149a60169553607f1",
"name":"Penobscot Community Health Center",
"opening_hours":{"open_now":true,"weekday_text":[]},
"photos":[{"height":320,"html_attributions":[],"width":320}],"place_id":"ChIJj--4INRKrkwRN0z2XkoJtVU",
"rating":3.1,
"reference":"CoQBdAAAADmf3YA0659efzMbCSPOK6SZttkfus7aWBDhrZZyX63Szl256BRcpz81LH6rIuONldYv256tsN7Zv-N6ZkOkJadlD2VS01bs7C4ierKvGUMyJOJu657xL5MvidF3Tgs9iejeJcXsxjDJYOwtN3m3sbfClfWYVnnIL4hMLYV8P9TnEhBurfJv_30CAG2wp1V73POVGhR-7fz1mCdh4OYWSa3Pw0mPupckoQ",
"scope":"GOOGLE",
"types":["hospital","pharmacy","store","health","establishment"],
"vicinity":"1012 Union Street, Bangor",
"html_attributions":[]}
My guess is there are a couple ways to get around this. You might remove the keyword argument from the API, which acts like a search term rather than a specific match on a type of location like the type field does.
You may want to be careful about your radius value choice.
Next, if you do a search on Google Maps in general you'll get a broad assortment of results. Do you need every result to be an actual hospital or can you do your own filtering afterwards?
If you do your own filtering it looks like type information and even icons are embedded in the result JSON. You might see if there's a distinguishing characteristic between the types of results you want and filter by that. Otherwise, any additional graphical data would not be accessible via the API.
just wondering did anybody complete the sport store application in this book, i am having a problem with the data binding in the orders page for the admin, i want to pull in the product id from the order lines table but i keep getting errors, it working correctly for the quantity but i can seem to get the product id to bind. i have tried the following code but this is not working for me at the moment
**<td><%# Item.OrderLines.Product_ProductID %></td>**
it says i am missing a definition in the orderline
First of all, OrderLines is of type List most likely. So the list doesn't have a definition of Product_ProductID. You should rather make a loop for Item.OrderLines and then you can access each order line of the order with its product. At second, take a look at your OrderLine model. Does it contain Product_ProductID? Most likely it has Product property
references to Product model which contains ProductID. So after all, your code would look like:
**<td><%# Item.OrderLines[i].Product.ProductID %></td>**