Incorporate grid rank into city rank
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@ -11,8 +11,12 @@ We suggest you use different font styles and sizes to create a text hierarchy.
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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` to boost their importance on the map.
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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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The `rank` field for counries and states ranges from `1` to `6` while the `rank` field for
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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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cities ranges from `1` to `10`. Use the `rank` field to build a text hierarchy.
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cities ranges from `1` to `10` for the most important cities and continues from `10` serially based
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The rank value is a combination of the Natural Earth `scalerank`, `labelrank` and `datarank` values.
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on the local importance of the city (derived from population and city class).
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Use the `rank` field to build a text hierarchy.
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The rank value is a combination of the Natural Earth `scalerank`, `labelrank` and `datarank` values for countries
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and states and for cities consists out of a shifted Natural Earth `scalerank` combined with a local rank
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within a grid for cities that do not have a Natural Earth `scalerank`.
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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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@ -7,14 +7,15 @@ RETURNS TABLE(osm_id bigint, geometry geometry, name text, name_en text, class c
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OR (zoom_level BETWEEN 3 AND 7 AND "rank" <= zoom_level)
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OR (zoom_level BETWEEN 3 AND 7 AND "rank" <= zoom_level)
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)
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)
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UNION ALL
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UNION ALL
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SELECT osm_id, geometry, name, name_en, place, "rank" FROM (
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SELECT osm_id, geometry, name, name_en, place, COALESCE("rank", gridrank + 10) FROM (
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SELECT osm_id, geometry, name, name_en, place, "rank",
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SELECT osm_id, geometry, name, name_en, place, "rank",
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row_number() OVER (
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row_number() OVER (
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PARTITION BY LabelGrid(geometry, 150 * pixel_width)
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PARTITION BY LabelGrid(geometry, 150 * pixel_width)
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ORDER BY place ASC NULLS LAST,
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ORDER BY "rank" ASC NULLS LAST,
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place ASC NULLS LAST,
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population DESC NULLS LAST,
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population DESC NULLS LAST,
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length(name) DESC
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length(name) ASC
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) AS gridrank
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)::int AS gridrank
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FROM osm_city_point
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FROM osm_city_point
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WHERE geometry && bbox
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WHERE geometry && bbox
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AND ((zoom_level BETWEEN 8 AND 9 AND place <= 'town'::city_class)
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AND ((zoom_level BETWEEN 8 AND 9 AND place <= 'town'::city_class)
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@ -23,7 +24,7 @@ RETURNS TABLE(osm_id bigint, geometry geometry, name text, name_en text, class c
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OR (zoom_level >= 14)
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OR (zoom_level >= 14)
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)
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)
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) AS ranked_places
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) AS ranked_places
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WHERE (zoom_level = 8 AND gridrank <= 4)
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WHERE (zoom_level = 8 AND (gridrank <= 4 OR "rank" IS NOT NULL))
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OR (zoom_level BETWEEN 9 AND 12 AND gridrank <= 9)
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OR (zoom_level BETWEEN 9 AND 12 AND (gridrank <= 9 OR "rank" IS NOT NULL))
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OR (zoom_level >= 13);
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OR (zoom_level >= 13);
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$$ LANGUAGE SQL IMMUTABLE;
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$$ LANGUAGE SQL IMMUTABLE;
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@ -16,9 +16,12 @@ layer:
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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` to boost their importance on the map.
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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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The `rank` field for counries and states ranges from `1` to `6` while the `rank` field for
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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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cities ranges from `1` to `10`. Use the `rank` field to build a text hierarchy.
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cities ranges from `1` to `10` for the most important cities and continues from `10` serially based
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on the local importance of the city (derived from population and city class).
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Use the `rank` field to build a text hierarchy.
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The rank value is a combination of the Natural Earth `scalerank`, `labelrank` and `datarank` values for countries
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The rank value is a combination of the Natural Earth `scalerank`, `labelrank` and `datarank` values for countries
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and states and a shifted Natural Earth `scalerank` for cities.
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and states and for cities consists out of a shifted Natural Earth `scalerank` combined with a local rank
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within a grid for cities that do not have a Natural Earth `scalerank`.
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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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