fix: Merge pull request #3 from pelias/update-readme

updated for very popular neighbourhoods

README.md

@@ -74,45 +74,50 @@ Unless otherwise specified, ties between two results at the same layer are broke
   - Examples:
     1. [New Mexico, USA](https://whosonfirst.mapzen.com/spelunker/id/85688493)
     2. [British Columbia, Canada](https://whosonfirst.mapzen.com/spelunker/id/85682117)
-9.  [borough](https://github.com/whosonfirst/whosonfirst-placetypes#borough)
+8.  [borough](https://github.com/whosonfirst/whosonfirst-placetypes#borough)
   - Examples:
     1. [Manhattan, New York City](https://whosonfirst.mapzen.com/spelunker/id/421205771)
     2. [Bronx](https://whosonfirst.mapzen.com/spelunker/id/421205775)
-9.  mid-size city
+9.  very popular neighbourhood - popularity >= 10,000
+  - Ties among popular neighbourhoods are broken by preferring those closer to `focus.point` or greater popularity if not supplied.
+  - Examples:
+    1. [Chelsea, New York City](https://whosonfirst.mapzen.com/spelunker/id/85810575)
+    2. [Greenwich, London](https://whosonfirst.mapzen.com/spelunker/id/85866377)
+10.  mid-size city
   - population between 5,000 and 500,000
   - Ties among mid-size cities are broken by preferring those closer to `focus.point` or greater population if not supplied.
   - Examples:
     1. [Socorro, New Mexico](https://whosonfirst.mapzen.com/spelunker/id/85976677)
     2. [Strasbourg, France](https://whosonfirst.mapzen.com/spelunker/id/101751113)
-10.  [macrocounty](https://github.com/whosonfirst/whosonfirst-placetypes#macrocounty)
+11.  [macrocounty](https://github.com/whosonfirst/whosonfirst-placetypes#macrocounty)
   - macrocounty results are ranked below medium cities because they typically contain a city of the same name that users are normally interested in
   - Examples:
     1. [Perpignan, France](https://whosonfirst.mapzen.com/spelunker/id/404227943)
     2. [Stuttgart, Germany](https://whosonfirst.mapzen.com/spelunker/id/404227549)
-11.  county
+12.  county
   - Like macrocounty, counties normally contain a city with the same name
   - Examples:
     1. [Maui, Hawaii](https://whosonfirst.mapzen.com/spelunker/id/102085577)
     2. [Nordsachsen, Sachsen, Germany](https://whosonfirst.mapzen.com/spelunker/id/102064235)
-12.  [macrohood](https://github.com/whosonfirst/whosonfirst-placetypes#macrohood)
+13.  [macrohood](https://github.com/whosonfirst/whosonfirst-placetypes#macrohood)
   - Groups of neighbourhoods
   - Examples:
     1. [San Fernando Valley, Los Angeles, CA](https://whosonfirst.mapzen.com/spelunker/id/1108692439/)
     2. [Suutarila, Helsinki, Finland](https://whosonfirst.mapzen.com/spelunker/id/890537277)
-12.  popular neighbourhood - popularity >= 1000
+14.  popular neighbourhood - popularity between 1,000 and 10,000
   - Ties among popular neighbourhoods are broken by preferring those closer to `focus.point` or greater popularity if not supplied.
   - Examples:
-    1. [Chelsea, New York City](https://whosonfirst.mapzen.com/spelunker/id/85810575)
+    1. [Rittenhouse Square, Philadelphia](https://whosonfirst.mapzen.com/spelunker/id/85844705/)
     2. [Hyde Park](https://whosonfirst.mapzen.com/spelunker/id/85861707)
-13.  small city - population < 5,000
+15.  small city - population < 5,000
   - Ties among small cities are broken by preferring those closer to `focus.point` or greater population if not supplied.
   - Examples:
     1. [Yoe, Pennsylvania](https://whosonfirst.mapzen.com/spelunker/id/101717281)
     2. [Großerlach, Germany](https://whosonfirst.mapzen.com/spelunker/id/101760693)
-14.  non-popular neighbourhood - popularity < 1,000
+16.  non-popular neighbourhood - popularity < 1,000
   - Ties among non-popular neighbourhoods are broken by preferring those closer to `focus.point` or greater popularity if not supplied.
   - Examples:
     1. [The Flats, Wilmington, DE](https://whosonfirst.mapzen.com/spelunker/id/85888525)
     2. [Dagenham Heathway, London, GB](https://whosonfirst.mapzen.com/spelunker/id/85860857)
 
-***Regarding neighbourhoods, Pelias makes no qualitative stance on what the term "popularity" means.***
+***Regarding neighbourhoods, Pelias has no qualitative stance on what the term "popularity" means.***