From 87e8c5f22603a0f667577efef4e2ebc1987c8990 Mon Sep 17 00:00:00 2001 From: Julian Simioni Date: Thu, 15 Mar 2018 16:39:58 -0400 Subject: [PATCH] Tweak the autocomplete page --- autocomplete.md | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/autocomplete.md b/autocomplete.md index 589cdcd..5a84d57 100644 --- a/autocomplete.md +++ b/autocomplete.md @@ -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` |