pelias
/
documentation
mirror of https://github.com/pelias/documentation.git
1
0
Fork 0
Code Issues Releases Activity
Browse Source

update autocomplete to sandbox

pull/193/head
rmglennon 8 years ago
parent
a48c83e41c
commit
587cd1b18b
1 changed files with 6 additions and 5 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 11
      autocomplete.md

11
autocomplete.md
Unescape View File

@ -19,7 +19,7 @@ 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://search.mapzen.com/v1/autocomplete?focus.point.lat=37.7&focus.point.lon=-122.4&text=union square)
[/v1/autocomplete?api_key=your-mapzen-api-key&__focus.point.lat=37.7&focus.point.lon=-122.4&text=union square__](https://mapzen.github.io/search-sandbox/?query=autocomplete&focus.point.lat=37.7&focus.point.lon=-122.4&text=union square)
```
1) Union Square, San Francisco County, CA
@ -29,7 +29,7 @@ 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://search.mapzen.com/v1/autocomplete?focus.point.lat=40.7&focus.point.lon=-73.9&text=union square)
[/v1/autocomplete?api_key=your-mapzen-api-key&__focus.point.lat=40.7&focus.point.lon=-73.9&text=union square__](https://mapzen.github.io/search-sandbox/?query=autocomplete&focus.point.lat=40.7&focus.point.lon=-73.9&text=union square)
```
1) Union Square, New York County, NY
@ -38,7 +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=your-mapzen-api-key&__focus.point.lat=52.5&focus.point.lon=13.3&text=hard rock cafe__](https://search.mapzen.com/v1/autocomplete?focus.point.lat=52.5&focus.point.lon=13.3&text=hard rock cafe)
> [/v1/autocomplete?api_key=your-mapzen-api-key&__focus.point.lat=52.5&focus.point.lon=13.3&text=hard rock cafe__](https://mapzen.github.io/search-sandbox/?query=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 +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=your-mapzen-api-key&__sources=openaddresses__&text=pennsylvania](https://search.mapzen.com/v1/autocomplete?sources=openaddresses&text=pennsylvania)
> [/v1/autocomplete?api_key=your-mapzen-api-key&__sources=openaddresses__&text=pennsylvania](https://mapzen.github.io/search-sandbox/?query=autocomplete&sources=openaddresses&text=pennsylvania)
with `sources=openaddresses` you will only find addresses on Pennsylvania Ave or Street:
```
@ -82,6 +82,7 @@ without `sources=openaddresses` you will find the most popular Pennsylvanias fir
```
### Layers
The type of record is referred to as its `layer`. All records are indexed into the following layers:
|layer|description|
@ -100,7 +101,7 @@ 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://search.mapzen.com/v1/autocomplete?layers=coarse&text=starbuck)
> [/v1/autocomplete?api_key=your-mapzen-api-key&__layers=coarse__&text=starbuck](https://mapzen.github.io/search-sandbox/?query=autocomplete&layers=coarse&text=starbuck)
with `layers=coarse` you will see only administrative areas with names containing Starbuck

Write Preview
Loading…
Cancel
Save