20 KiB
Mapzen Search: Finding places
Geospatial search, frequently referred to as geocoding, is the process of matching an address to its corresponding geographic coordinates. There's nothing inherent in the words we use to describe an address that conveys its location at some coordinates on earth, i.e. [lat,lon]. Making the leap from text to coordinates is an intricate and challenging process. Lucky for you, we've done all the hard work and made it accessible though a free web service.
Build a query
The Mapzen Search request takes the form of https://search.mapzen.com/v1/search?api_key={your-api-key}
, where the JSON inputs inside the {}
include search parameters such as the text to find and filtering options. Note that you must append your own Mapzen Search API key to the URL, following &api_key= at the end.
Search the world
In the simplest search, you can provide only one parameter, the text you want to match in any part of the location details. To accomplish this, build a query where the text
is set to the item you want to find.
For example, if you want to find a YMCA facility, here's what you'd need to append to the base URL of the service, search.mapzen.com
.
Note the parameter values are set as follows:
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
If you clicked on the query link above, you probably saw some cool GeoJSON, more on that later, with the following set of places in the results:
- YMCA, Bargoed Community, United Kingdom
- YMCA, Nunspeet, Gelderland
- YMCA, Belleville, IL
- YMCA, Forest City, IA
- YMCA, Fargo, ND
- YMCA, Taipei, Taipei City
- YMCA, Orpington, Greater London
- YMCA, Frisco, TX
- YMCA, Jefferson, OH
- YMCA, Belleville, IL
Note that the results are spread out throughout the world because you have not given your current location or provided any other geographic context in which to search.
Narrow your search
If you are looking for places in a particular region, or country, or only want to look in the immediate vicinity of a user with a known location, you can narrow your search to an area. There are different ways of including a region in your query. Mapzen Search currently supports three types: country, rectangle, and country.
Search within a particular country
Sometimes your work might require that all the search results be from a particular country. To do this, you can set the boundary.country
parameter value to the alpha-2 or alpha-3 ISO-3166 country code.
Now, you want to search for YMCA again, but this time only in Great Britain. To do this, you will need to know that the alpha-3 code for Great Britain is GBR and set the parameters like this:
/v1/search?api_key={YOUR-KEY}&text=YMCA&boundary.country=GBR
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
boundary.country |
GBR |
Note that all the results reside within Great Britain:
- YMCA, Bargoed Community, United Kingdom
- YMCA, Orpington, Greater London
- YMCA, Erdington, West Midlands
- YMCA, Malvern CP, United Kingdom
- YMCA, Ancoats, Greater Manchester
- YMCA, Carmarthen Community, United Kingdom
- YMCA, Halebank, Cheshire
- YMCA, Brightlingsea CP, United Kingdom
- YMCA, Lenton Abbey, Nottinghamshire
- YMCA, Old Clee, Lincolnshire
If you attempt the same search request with different country codes, the results change to reflect YMCA locations within the country.
/v1/search?api_key={YOUR-KEY}&text=YMCA&boundary.country=USA
Results in the United States:
- YMCA, Belleville, IL
- YMCA, Forest City, IA
- YMCA, Fargo, ND
- YMCA, Frisco, TX
- YMCA, Jefferson, OH
- YMCA, Belleville, IL
- YMCA, Chapel Hill, NC
- YMCA, West Lampeter, PA
- YMCA, Bremerton, WA
- YMCA, Westerly, RI
Search within a rectangular region
To specify the boundary using a rectangle, you need latitude, longitude coordinates for two corners of the bounding box (the mininum and the maximum latitude, longitude).
For example, to find a YMCA within the state of Texas, you can set the boundary.rect.*
parameter to values representing the bounding box around Texas: min_lon=-106.65 min_lat=25.84 max_lon=-93.51 max_lat=36.5
Tip: You can look up a bounding box for a known region with this web tool*
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
boundary.rect.min_lat |
25.84 |
boundary.rect.min_lon |
-106.65 |
boundary.rect.max_lat |
36.5 |
boundary.rect.max_lon |
-93.51 |
- YMCA, Austin, TX
- YMCA, Frisco, TX
- Y.M.C.A, Fort Worth, TX
- YMCA, Rockwall, TX
- YMCA, Missouri City, TX
- YMCA, Northshore, TX
- YMCA, Austin, TX
- YMCA, Tulsa, OK
- YMCA, Los Alamos, NM
- YMCA, Tulsa, OK
Search within a circular region
Sometimes you don't have a rectangle to work with, but rather you have a point on earth—for example, your location coordinates—and a maximum distance within which acceptable results can be located.
In this example, you want to find all YMCA locations within a 35-kilometer radius of a location in Ontario, Canada. This time, you can use the boundary.circle.*
parameter group, where boundary.circle.lat
and boundary.circle.lon
represents your location in Ontario and boundary.circle.radius
is the acceptable distance from that location. Note that the boundary.circle.radius
parameter is always specified in kilometers.
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
boundary.circle.lat |
43.818156 |
boundary.circle.lon |
-79.186484 |
boundary.circle.radius |
35 |
You can see the results have fewer than the standard 10 items because there are not that many YMCA locations in the specified radius:
- YMCA, Toronto, Ontario
- YMCA, Markham, Ontario
- YMCA, Toronto, Ontario
- Metro Central YMCA, Toronto, Ontario
- Pinnacle Jr YMCA, Toronto, Ontario
- Cooper Koo Family Cherry Street YMCA Centre, Toronto, Ontario
Specify multiple boundaries
If you're going to attempt using multiple boundary types in a single search request, be aware that the results will come from the intersection of all the boundaries. So if you provide regions that don't overlap, you'll be looking at an empty set of results. You've been warned. Here's an image of how it works:
Prioritize results by proximity
Many usecases call for the ability to promote nearby results to the top of the list, while still allowing important matches from farther away to be visible. If that's your conundrum, here's what to do.
Prioritize around a point
Search will focus on a given point anywhere on earth, and results within 100 kilometers will be prioritized higher, thereby surfacing highest in the list. Once all the nearby results have been found, additional results will come from the rest of the world, without any further location-based prioritization.
To find YMCA again, but this time near the a specific coordinate location (representing the Sydney Opera House) in Sydney, Australia.
/v1/search?api_key={YOUR-KEY}&text=YMCA&focus.point.lat=-33.856680&focus.point.lon=151.215281
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
focus.point.lat |
-33.856680 |
focus.point.lon |
151.215281 |
Looking at the results, you can see that the few locations closer to this location show up at the top of the list, sorted by distance. You also still get back a significant amount of remote locations, for a well balanced mix. Because you provided a focus point, Mapzen Search can compute distance from that point for each resulting feature.
- YMCA, Redfern, New South Wales [distance: 3.836]
- YMCA, St Ives (NSW), New South Wales [distance: 14.844]
- YMCA, Epping (NSW), New South Wales [distance: 16.583]
- YMCA, Revesby, New South Wales [distance: 21.335]
- YMCA, Kochâang, South Gyeongsang [distance: 8071.436]
- YMCA, Center, IN [distance: 14882.675]
- YMCA, Lake Villa, IL [distance: 14847.667]
- YMCA, Onondaga, NY [distance: 15818.08]
- YMCA, 's-Gravenhage, Zuid-Holland [distance: 16688.292]
- YMCA, Loughborough, United Kingdom [distance: 16978.367]
Combine boundary search and prioritization
Now that you have seen how to use boundary and focus to narrow and sort your results, you can examine a few scenarios where they work well together.
Prioritize within a country
TBD: insert image here
Going back to the YMCA search you conducted with a focus around a point in Sydney, the results came back from distant parts of the world, as expected. But say you wanted to only see results from the country in which your focus point lies. You can combine that same focus point in Sydney with the country boundary of Australia like this.
/v1/search?api_key={YOUR-KEY}&text=YMCA&focus.point.lat=-33.856680&focus.point.lon=151.215281
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
focus.point.lat |
-33.856680 |
focus.point.lon |
151.215281 |
boundary.country |
AUS |
The results below look very different from the ones you saw previously with only a focus point specified. These results are all from within Australia. You'll note the closest results show up at the top of the list, which is facilitated by the focus parameter.
- YMCA, Redfern, New South Wales [distance: 3.836]
- YMCA, St Ives (NSW), New South Wales [distance: 14.844]
- YMCA, Epping (NSW), New South Wales [distance: 16.583]
- YMCA, Revesby, New South Wales [distance: 21.335]
- YMCA, Larrakeyah, Northern Territory [distance: 3144.296]
- YMCA, Kepnock, Queensland [distance: 1001.657]
- YMCA, Kings Meadows, Tasmania [distance: 917.144]
- YMCA, Katherine East, Northern Territory [distance: 2873.376]
- YMCA, Sadadeen, Northern Territory [distance: 2026.731]
- YMCA, Ararat, Victoria [distance: 841.022]
Prioritize within a circular region
TBD: insert image here
If you are looking for the nearest YMCA locations, and are willing to travel no farther than 50 kilometers from your current location, you likely would want the results to be sorted by distance from current location to make your selection process easier. You can get this behavior by using focus.point
in combination with boundary.circle.*
. You can use the focus.point.*
values as the boundary.circle.lat
and boundary.circle.lon
, and add the required boundary.circle.radius
value in kilometers.
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
focus.point.lat |
-33.856680 |
focus.point.lon |
151.215281 |
boundary.circle.lat |
-33.856680 |
boundary.circle.lon |
151.215281 |
boundary.circle.radius |
50 |
Looking at these results, they are all less than 50 kilometers away from the focus point:
- YMCA, Redfern, New South Wales [distance: 3.836]
- YMCA, St Ives (NSW), New South Wales [distance: 14.844]
- YMCA, Epping (NSW), New South Wales [distance: 16.583]
- YMCA, Revesby, New South Wales [distance: 21.335]
- Caringbah YMCA, Caringbah, New South Wales [distance: 22.543]
- YMCA building, Loftus, New South Wales [distance: 25.756]
Filter your search
Mapzen Search brings together data from multiple open sources and combines a variety of place types into a single database, allowing you options for selecting the dataset you want to search.
With Mapzen Search, you can filter by:
sources
: the originating source of the datalayers
: the kind of place you want to find
Filter by data source
The search examples so far have returned a mix of results from all the data sources available to Mapzen Search. Here are the sources currently being searched:
source | name | short name |
---|---|---|
OpenStreetMap | openstreetmap |
osm |
OpenAddresses | openaddresses |
oa |
Quattroshapes | quattroshapes |
qs |
GeoNames | geonames |
ga |
TO DO: Add a description of each of these.*
If you use the sources
parameter, you can choose which of these data sources to include in your search. So if you're only interested in finding a YMCA in data from OpenAddresses, for example, you can build a query specifying that data source.
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
sources |
oa |
Because OpenAddresses is, as the name suggests, only address data, here's what you can expect to find:
- 0 Ymca, New Brunswick
- 0 Ymca Drive, Cary, NC
- 14843 Ymca Lane, Cormorant, MN
- 14660 Ymca Lane, Cormorant, MN
- 6221 Ymca Lane, Northampton County, VA
- 6223 Ymca Lane, Northampton County, VA
- 74 Ymca Road, Wairoa District, Hawke's Bay Region
- 108 Ymca Drive, Clinton, SC
- 101 Ymca Drive, Kannapolis, NC
- 31440 Ymca Road, Washington, OH
If you wanted to combine several data sources together, set sources
to a comma separated list of desired source names. Note that the order of the comma separated values does not impact sorting order of the results; they are still sorted based on the linguistic match quality to text
and distance from focus
, if you specified one.
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
sources |
osm,gn |
Filter by data type
In Mapzen Search, place types are referred to as layers
, ranging from fine to coarse. The Mapzen Search layers are derived from the hierarchy created by the gazetteer Who's on First and can be used to facilitate coarse geocoding. Here's a list of the types of places you could find in the results, sorted by granularity:
****TO DO: Describe fine and coarse geocoding, gazeteer. ***
layer | description |
---|---|
venue |
points of interest, businesses, things with walls |
address |
places with a street address |
country |
places that issue passports, nations, nation-states |
region |
states and provinces |
county |
official governmental area; usually bigger than a locality, almost always smaller than a region |
locality |
towns, hamlets, cities, etc. |
localadmin |
TBD |
neighbourhood |
...ehm, neighbourhoods |
coarse |
alias for simultaneously using country , region , county , locality , localadmin , and neighbourhood |
Example time
*** COMING SOON***
Using Autocomplete & Search Together
For end-user applications, /autocomplete
is intended to be used alongside /search
to facilitate real-time feedback for user s
Results
Now that you've seen some examples of search, let's examine the results closer.
When requesting search results you will always get back GeoJSON
results, unless something goes terribly wrong, in which case you'll get a really helpful error.
You can go here to learn more about the
GeoJSON
data format specification. We'll assume you're familiar with the general layout and only point out some important details here.
You will find the following top-level structure to every response:
{
"geocoding":{...},
"type":"FeatureCollection",
"features":[...],
"bbox":[...]
}
For the purposes of getting started quickly, let's keep our focus on the features property of the result. This is where you will find the list of results that best matched your input parameters.
Each item in this list will contain all the information needed to identify it in human-readable format in the properties
block, as well as computer friendly coordinates in the geometry
property. Note the label
property, which is a human-friendly representation of the place, ready to be displayed to an end-user.
{
"type":"Feature",
"properties":{
"gid":"...",
"layer":"address",
"source":"osm",
"name":"30 West 26th Street",
"housenumber":"30",
"street":"West 26th Street",
"postalcode":"10010",
"country_a":"USA",
"country":"United States",
"region":"New York",
"region_a":"NY",
"county":"New York County",
"localadmin":"Manhattan",
"locality":"New York",
"neighbourhood":"Flatiron District",
"confidence":0.9624939994613662,
"label":"30 West 26th Street, Manhattan, NY"
},
"geometry":{
"type":"Point",
"coordinates":[
-73.990342,
40.744243
]
}
}
There is so much more to tell you about the plethora of data being returned for each search, we had to split it out into its own section. Read more about the response format.
Result count
You may have noticed that there were 10 places in the results for all the previous search examples. That's the default number of results the API will return, unless otherwise specified.
Example time
Want a single result? Just set the size
parameter to the desired number:
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
size |
1 |
How about 25 results?
parameter | value |
---|---|
api_key |
get yours here |
text |
YMCA |
size |
25 |
cApiTaliZAtioN
You may have noticed already that cApiTaliZAtioN isn't a big deal for search. You can type ymca or YMCA or even yMcA. See for yourself by comparing the results of the previous search to the following: