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Tweak the autocomplete page

pull/219/head
Julian Simioni 7 years ago
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1 changed files with 5 additions and 8 deletions
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      autocomplete.md

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autocomplete.md
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@ -18,8 +18,7 @@ To focus your search based upon a geographical area, such as the center of the u
From San Francisco:
>
[/v1/autocomplete?api_key=your-mapzen-api-key&__focus.point.lat=37.7&focus.point.lon=-122.4&text=union square__](https://mapzen.com/search/explorer/?query=autocomplete&focus.point.lat=37.7&focus.point.lon=-122.4&text=union square)
> /v1/autocomplete?__focus.point.lat=37.7&focus.point.lon=-122.4__&text=union square
```
1) Union Square, San Francisco County, CA
@ -28,8 +27,7 @@ From San Francisco:
From New York City:
>
[/v1/autocomplete?api_key=your-mapzen-api-key&__focus.point.lat=40.7&focus.point.lon=-73.9&text=union square__](https://mapzen.com/search/explorer/?query=autocomplete&focus.point.lat=40.7&focus.point.lon=-73.9&text=union square)
> /v1/autocomplete?__focus.point.lat=40.7&focus.point.lon=-73.9__&text=union square
```
1) Union Square, New York County, NY
@ -38,7 +36,7 @@ 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=your-mapzen-api-key&__focus.point.lat=52.5&focus.point.lon=13.3&text=hard rock cafe__](https://mapzen.com/search/explorer/?query=autocomplete&focus.point.lat=52.5&focus.point.lon=13.3&text=hard rock cafe)
> /v1/autocomplete?__focus.point.lat=52.5&focus.point.lon=13.3__&text=hard rock cafe
with `focus.point` you will find the Berlin restaurant first:
```
@ -65,7 +63,7 @@ The `sources` parameter allows you to specify from which data sources you'd like
* `geonames` or `gn`
* `whosonfirst` or `wof`
> [/v1/autocomplete?api_key=your-mapzen-api-key&__sources=openaddresses__&text=pennsylvania](https://mapzen.com/search/explorer/?query=autocomplete&sources=openaddresses&text=pennsylvania)
> /v1/autocomplete?__sources=openaddresses__&text=pennsylvania
with `sources=openaddresses` you will only find addresses on Pennsylvania Ave or Street:
```
@ -101,7 +99,7 @@ The type of record is referred to as its `layer`. All records are indexed into t
|`neighbourhood`|social communities, neighbourhoods|
|`coarse`|alias for simultaneously using all administrative layers (everything except `venue` and `address`)|
> [/v1/autocomplete?api_key=your-mapzen-api-key&__layers=coarse__&text=starbuck](https://mapzen.com/search/explorer/?query=autocomplete&layers=coarse&text=starbuck)
> /v1/autocomplete?__layers=coarse__&text=starbuck
with `layers=coarse` you will see only administrative areas with names containing Starbuck
@ -129,7 +127,6 @@ Sometimes your work might require that all the search results be from a particul
| Parameter | Type | Required | Default | Example |
| --- | --- | --- | --- | --- |
| `api_key` | string | yes | none | [get yours here](https://mapzen.com/developers) |
| `text` | string | yes | none | `Union Square` |
| `focus.point.lat` | floating point number | no | none | `48.581755` |
| `focus.point.lon` | floating point number | no | none | `7.745843` |

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