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update formatting, add bold to highlight queries

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rmglennon 9 years ago committed by Julian Simioni
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3 changed files with 8 additions and 8 deletions
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  1. 10
      autocomplete.md
  2. 4
      place.md
  3. 2
      search.md

10
autocomplete.md
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@ -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=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)
[/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
@ -29,7 +29,7 @@ From San Francisco:
From New York City:
>
[/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)
[/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
@ -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=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)
> [/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:
```
@ -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=search-hnopfLZ&sources=openaddresses&text=pennsylvania](https://search.mapzen.com/v1/autocomplete?api_key=search-hnopfLZ&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:
```
@ -99,7 +99,7 @@ The type of record is referred to as its `layer`. All records are indexed into t
You can also refer to all the administrative hierarchy layers with a single alias, `coarse`.
> [/v1/autocomplete?api_key=search-hnopfLZ&layers=coarse&text=starbuck](https://search.mapzen.com/v1/autocomplete?api_key=search-hnopfLZ&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

4
place.md
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@ -9,13 +9,13 @@ These `gid` strings should not be built manually, but rather used directly as-is
For example, this `/place` query looks up the Eiffel Tower in OpenStreetMap (OSM):
> [/v1/place?api_key=search-hnopfLZ&ids=openstreetmap:venue:way:5013364](https://search.mapzen.com/v1/place?api_key=search-hnopfLZ&ids=openstreetmap:venue:way:5013364)
> [/v1/place?api_key=search-hnopfLZ&__ids=openstreetmap:venue:way:5013364__](https://search.mapzen.com/v1/place?api_key=search-hnopfLZ&ids=openstreetmap:venue:way:5013364)
## Search for multiple places in a query
To search for more than one `/place` in a request, join multiple values together and separate them with a comma. For example, this `/place` query looks up the Eiffel Tower in OpenStreetMap and the borough of Manhattan in Who's on First:
> [/v1/place?api_key=search-hnopfLZ&ids=openstreetmap:venue:way:5013364,whosonfirst:borough:421205771](https://search.mapzen.com/v1/place?api_key=search-hnopfLZ&ids=openstreetmap:venue:way:5013364,whosonfirst:borough:421205771)
> [/v1/place?api_key=search-hnopfLZ&__ids=openstreetmap:venue:way:5013364,whosonfirst:borough:421205771__](https://search.mapzen.com/v1/place?api_key=search-hnopfLZ&ids=openstreetmap:venue:way:5013364,whosonfirst:borough:421205771)
The results are returned in the order requested.

2
search.md
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@ -305,7 +305,7 @@ If you use the `sources` parameter, you can choose which of these data sources t
Because OpenAddresses is, as the name suggests, only address data, here's what you can expect to find:
> * 0 Ymca, New Brunswick
* 0 Ymca, New Brunswick
* 0 Ymca Drive, Cary, NC
* 14843 Ymca Lane, Cormorant, MN
* 14660 Ymca Lane, Cormorant, MN

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