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make autocomplete into links, minor text changes for style from we

pull/124/head
rmglennon 9 years ago committed by Julian Simioni
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      autocomplete.md

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autocomplete.md
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@ -18,7 +18,8 @@ To focus your search based upon a geographical area, such as the center of the u
From San Francisco: 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 1) Union Square, San Francisco County, CA
@ -27,7 +28,8 @@ From San Francisco:
From New York City: 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 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: 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: with `focus.point` you will find the Berlin restaurant first:
``` ```
@ -52,7 +54,7 @@ without `focus.point` you will find the most popular restaurants first:
## Filters ## Filters
You can filter the results in several ways: the original data source and/or the type of record. You can filter the results in several ways: the original data source and/or the type of record.
### Sources ### Sources
@ -63,7 +65,7 @@ The `sources` parameter allows you to specify from which data sources you'd like
* `geonames` or `gn` * `geonames` or `gn`
* `whosonfirst` or `wof` * `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: 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 ### 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` * `venue`
* `address` * `address`
@ -95,9 +97,9 @@ We refer to the type of record as its `layer`. We index all records into the fol
* `region` * `region`
* `country` * `country`
We also allow users to refer to all the administrative hierarchy layers with a single alias, `coarse`. You can also 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 with `layers=coarse` you will see only administrative areas with names containing Starbuck

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