@ -18,7 +18,8 @@ To focus your search based upon a geographical area, such as the center of the u
From San Francisco:
> /v1/autocomplete?api_key=search-XXXXXXX& focus.point.lat=37.7& focus.point.lon=-122.4& text=union square
>
[/v1/autocomplete?api_key=search-hnopfLZ&focus.point.lat=37.7&focus.point.lon=-122.4&text=union square ](https://search.mapzen.com/v1/autocomplete?api_key=search-hnopfLZ&focus.point.lat=37.7&focus.point.lon=-122.4&text=union square )
```
1) Union Square, San Francisco County, CA
@ -27,7 +28,8 @@ From San Francisco:
From New York City:
> /v1/autocomplete?api_key=search-XXXXXXX& focus.point.lat=40.7& focus.point.lon=-73.9& text=union square
>
[/v1/autocomplete?api_key=search-hnopfLZ&focus.point.lat=40.7&focus.point.lon=-73.9&text=union square ](https://search.mapzen.com/v1/autocomplete?api_key=search-hnopfLZ&focus.point.lat=40.7&focus.point.lon=-73.9&text=union square )
```
1) Union Square, New York County, NY
@ -36,7 +38,7 @@ From New York City:
The `/autocomplete` endpoint can promote nearby results to the top of the list, while still allowing important matches from farther away to be visible. For example, searching `hard rock cafe` with a focus on Berlin:
> /v1/autocomplete?api_key=search-XXXXXXX& focus.point.lat=52.5& focus.point.lon=13.3& text=hard rock cafe
> [/v1/autocomplete?api_key=search-hnopfLZ&focus.point.lat=52.5&focus.point.lon=13.3&text=hard rock cafe ](https://search.mapzen.com/v1/autocomplete?api_key=search-hnopfLZ&focus.point.lat=52.5&focus.point.lon=13.3&text=hard rock cafe )
with `focus.point` you will find the Berlin restaurant first:
```
@ -63,7 +65,7 @@ The `sources` parameter allows you to specify from which data sources you'd like
* `geonames` or `gn`
* `whosonfirst` or `wof`
> /v1/autocomplete?api_key=search-XXXXXXX& sources=openaddresses& text=pennsylvania
> [/v1/autocomplete?api_key=search-hnopfLZ&sources=openaddresses&text=pennsylvania ](https://search.mapzen.com/v1/autocomplete?api_key=search-hnopfLZ&sources=openaddresses&text=pennsylvania )
with `sources=openaddresses` you will only find addresses on Pennsylvania Ave or Street:
```
@ -80,7 +82,7 @@ without `sources=openaddresses` you will find the most popular Pennsylvanias fir
```
### Layers
We refer to the type of record as its `layer` . We index all records into the following layers
The type of record is referred to as its `layer` . All records are indexed into the following layers:
* `venue`
* `address`
@ -95,9 +97,9 @@ We refer to the type of record as its `layer`. We index all records into the fol
* `region`
* `country`
We also allow users t o refer to all the administrative hierarchy layers with a single alias, `coarse` .
You can als o refer to all the administrative hierarchy layers with a single alias, `coarse` .
> /v1/autocomplete?api_key=search-XXXXXXX& layers=coarse& text=starbuck
> [/v1/autocomplete?api_key=search-hnopfLZ&layers=coarse&text=starbuck ](https://search.mapzen.com/v1/autocomplete?api_key=search-hnopfLZ&layers=coarse&text=starbuck )
with `layers=coarse` you will see only administrative areas with names containing Starbuck