Make ranks more fine grained
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@ -9,10 +9,10 @@ We suggest you use different font styles and sizes to create a text hierarchy.
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- **name_en**: The english `name:en` value if available.
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- **name_en**: The english `name:en` value if available.
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- **name**: The OSM [`name`](http://wiki.openstreetmap.org/wiki/Key:name) value of the POI.
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- **name**: The OSM [`name`](http://wiki.openstreetmap.org/wiki/Key:name) value of the POI.
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- **rank**: Countries, states and the most important cities all have a `rank` field ranging from `1` to `6` which
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- **rank**: Countries, states and the most important cities all have a `rank` to boost their importance on the map.
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marks the importance of the feature. Less important places do not have a `rank`.
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The `rank` field for counries and states ranges from `1` to `6` while the `rank` field for
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Use this to build a text hierarchy. The rank value originates from Natural Earth data and is either the
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cities ranges from `1` to `10`. Use the `rank` field to build a text hierarchy.
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original `scalerank` for cities or the original `labelrank` for countries and states.
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The rank value is a combination of the Natural Earth `scalerank`, `labelrank` and `datarank` values.
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- **class**: Distinguish between `country`, `state` and other city classes like
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- **class**: Distinguish between `country`, `state` and other city classes like
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`city`, `town`, `village`, `hamlet`, `suburb`, `neighbourhood` or `isolated_dwelling`.
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`city`, `town`, `village`, `hamlet`, `suburb`, `neighbourhood` or `isolated_dwelling`.
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Use this to separately style the different places according to their importance (usually country and state different
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Use this to separately style the different places according to their importance (usually country and state different
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@ -1,5 +1,5 @@
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WITH important_city_point AS (
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WITH important_city_point AS (
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SELECT osm.geometry, osm.osm_id, osm.name, osm.name_en, ne.scalerank
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SELECT osm.geometry, osm.osm_id, osm.name, osm.name_en, ne.scalerank, ne.labelrank
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FROM ne_10m_populated_places AS ne, osm_city_point AS osm
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FROM ne_10m_populated_places AS ne, osm_city_point AS osm
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WHERE
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WHERE
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(
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(
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@ -18,7 +18,11 @@ WITH important_city_point AS (
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AND ST_DWithin(ne.geom, osm.geometry, 50000)
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AND ST_DWithin(ne.geom, osm.geometry, 50000)
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)
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)
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UPDATE osm_city_point AS osm
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UPDATE osm_city_point AS osm
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SET "rank" = ne.scalerank
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-- Normalize both scalerank and labelrank into a ranking system from 1 to 10.
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-- Scaleranks for NE populated place range from 0 to 8 and labelranks range from 0 to 10.
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-- To give features with both ranks close to 0 a lower rank we increase the range from 1 to 9 and 1 to 11.
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-- This means a max combined rank of 20 divided by 2 to get us uniform ranking from 1 to 10
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SET "rank" = CEILING((ne.scalerank + 1 + ne.labelrank + 1)/2.0)
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FROM important_city_point AS ne
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FROM important_city_point AS ne
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WHERE osm.osm_id = ne.osm_id;
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WHERE osm.osm_id = ne.osm_id;
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@ -1,5 +1,7 @@
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ALTER TABLE osm_country_point DROP CONSTRAINT IF EXISTS osm_country_point_rank_constraint;
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WITH important_country_point AS (
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WITH important_country_point AS (
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SELECT osm.geometry, osm.osm_id, osm.name, COALESCE(NULLIF(osm.name_en, ''), ne.name) AS name_en, ne.labelrank
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SELECT osm.geometry, osm.osm_id, osm.name, COALESCE(NULLIF(osm.name_en, ''), ne.name) AS name_en, ne.scalerank, ne.labelrank
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FROM ne_10m_admin_0_countries AS ne, osm_country_point AS osm
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FROM ne_10m_admin_0_countries AS ne, osm_country_point AS osm
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WHERE
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WHERE
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-- We only match whether the point is within the Natural Earth polygon
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-- We only match whether the point is within the Natural Earth polygon
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@ -10,17 +12,16 @@ WITH important_country_point AS (
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AND ne.scalerank <= 1
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AND ne.scalerank <= 1
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)
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)
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UPDATE osm_country_point AS osm
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UPDATE osm_country_point AS osm
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-- We merge the labelrank not scalerank because it is more fine grained
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-- Normalize both scalerank and labelrank into a ranking system from 1 to 6
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-- and allows styling more important countries bigger than others
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-- Scaleranks for NE countries range from 0 to 6 and labelranks range from 2 to 10.
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SET "rank" = ne.labelrank
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-- This means a max combined rank of 16 divided by 3 to get us uniform ranking from 1 to 6
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SET "rank" = CEILING((scalerank + labelrank)/3.0)
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FROM important_country_point AS ne
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FROM important_country_point AS ne
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WHERE osm.osm_id = ne.osm_id;
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WHERE osm.osm_id = ne.osm_id;
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UPDATE osm_country_point AS osm
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UPDATE osm_country_point AS osm
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SET "rank" = 6
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SET "rank" = 6
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WHERE "rank" <= 0 OR "rank" > 6 OR "rank" IS NULL;
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WHERE "rank" < 0 OR "rank" > 6 OR "rank" IS NULL;
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ALTER TABLE osm_country_point DROP CONSTRAINT IF EXISTS osm_country_point_rank_constraint;
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ALTER TABLE osm_country_point ADD CONSTRAINT osm_country_point_rank_constraint CHECK("rank" BETWEEN 1 AND 6);
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ALTER TABLE osm_country_point ADD CONSTRAINT osm_country_point_rank_constraint CHECK("rank" BETWEEN 1 AND 6);
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CREATE INDEX IF NOT EXISTS osm_country_point_rank_idx ON osm_country_point("rank");
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CREATE INDEX IF NOT EXISTS osm_country_point_rank_idx ON osm_country_point("rank");
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@ -1,5 +1,7 @@
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ALTER TABLE osm_state_point DROP CONSTRAINT IF EXISTS osm_state_point_rank_constraint;
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WITH important_state_point AS (
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WITH important_state_point AS (
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SELECT osm.geometry, osm.osm_id, osm.name, COALESCE(NULLIF(osm.name_en, ''), ne.name) AS name_en, ne.scalerank, ne.labelrank
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SELECT osm.geometry, osm.osm_id, osm.name, COALESCE(NULLIF(osm.name_en, ''), ne.name) AS name_en, ne.scalerank, ne.labelrank, ne.datarank
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FROM ne_10m_admin_1_states_provinces_shp AS ne, osm_state_point AS osm
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FROM ne_10m_admin_1_states_provinces_shp AS ne, osm_state_point AS osm
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WHERE
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WHERE
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-- We only match whether the point is within the Natural Earth polygon
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-- We only match whether the point is within the Natural Earth polygon
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@ -9,17 +11,14 @@ WITH important_state_point AS (
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AND ne.scalerank <= 3 AND ne.labelrank <= 2
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AND ne.scalerank <= 3 AND ne.labelrank <= 2
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)
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)
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UPDATE osm_state_point AS osm
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UPDATE osm_state_point AS osm
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-- We merge the labelrank not scalerank because it is more fine grained
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-- Normalize both scalerank and labelrank into a ranking system from 1 to 6.
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SET "rank" = ne.labelrank
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-- Scaleranks for NE states range from 2 to 11 and labelranks range from 0 to 20 and dataranks from 1 to 11.
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-- This means a max combined rank of 42 divided by 7 to get us uniform ranking from 1 to 6
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SET "rank" = CEILING((scalerank + labelrank + datarank)/7.0)
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FROM important_state_point AS ne
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FROM important_state_point AS ne
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WHERE osm.osm_id = ne.osm_id;
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WHERE osm.osm_id = ne.osm_id;
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UPDATE osm_state_point AS osm
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SET "rank" = 6
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WHERE "rank" <= 0 OR "rank" > 6;
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DELETE FROM osm_state_point WHERE "rank" IS NULL;
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DELETE FROM osm_state_point WHERE "rank" IS NULL;
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ALTER TABLE osm_state_point DROP CONSTRAINT IF EXISTS osm_state_point_rank_constraint;
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ALTER TABLE osm_state_point ADD CONSTRAINT osm_state_point_rank_constraint CHECK("rank" BETWEEN 1 AND 6);
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ALTER TABLE osm_state_point ADD CONSTRAINT osm_state_point_rank_constraint CHECK("rank" BETWEEN 1 AND 6);
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CREATE INDEX IF NOT EXISTS osm_state_point_rank_idx ON osm_state_point("rank");
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CREATE INDEX IF NOT EXISTS osm_state_point_rank_idx ON osm_state_point("rank");
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@ -14,10 +14,10 @@ layer:
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Use this to separately style the different places according to their importance (usually country and state different
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Use this to separately style the different places according to their importance (usually country and state different
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than cities).
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than cities).
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rank: |
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rank: |
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Countries, states and the most important cities all have a `rank` field ranging from `1` to `6` which
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Countries, states and the most important cities all have a `rank` to boost their importance on the map.
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marks the importance of the feature. Less important places do not have a `rank`.
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The `rank` field for counries and states ranges from `1` to `6` while the `rank` field for
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Use this to build a text hierarchy. The rank value originates from Natural Earth data and is either the
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cities ranges from `1` to `10`. Use the `rank` field to build a text hierarchy.
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original `scalerank` for cities or the original `labelrank` for countries and states.
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The rank value is a combination of the Natural Earth `scalerank`, `labelrank` and `datarank` values.
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buffer_size: 128
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buffer_size: 128
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datasource:
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datasource:
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geometry_field: geometry
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geometry_field: geometry
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