openmaptiles/layers/housenumber/mapping.yaml


tables:

  # etldoc: imposm3 -> osm_housenumber_point
  housenumber_point:
    type: geometry
    columns:
    - name: osm_id
      type: id
    - name: geometry
      type: geometry
    - name: housenumber
      key: addr:housenumber
      type: string
    - name: street
      key: addr:street
      type: string
    - name: block_number
      key: addr:block_number
      type: string
    - name: has_name
      key: name
      type: string
    type_mappings:
      points:
        addr:housenumber:
        - __any__
      polygons:
        addr:housenumber:
        - __any__
add etldoc to layer_housenumber 2016-11-10 00:11:11 +00:00
Add layer housenumber 2016-10-25 17:16:18 +00:00			`tables:`
add etldoc to layer_housenumber 2016-11-10 00:11:11 +00:00
			`# etldoc: imposm3 -> osm_housenumber_point`
Add layer housenumber 2016-10-25 17:16:18 +00:00			`housenumber_point:`
			`type: geometry`
Use one pass docs image generation (#751) quicker and cleaner diagram image generation. Remove etl-graph and mapping-graph targets - redundant Also, the obsolete "fields" is still in Imposm's code and both names are accepted, but "fields" is not documented anywhere (PR submitted), and could be removed at any moment. Our docs were not supporting it until this PR, so renaming it at the same time. Several images have been updated due to a more inclusive mapping scan Requires https://github.com/openmaptiles/openmaptiles-tools/pull/147 (merged) 2020-01-23 02:55:22 +00:00			`columns:`
Add layer housenumber 2016-10-25 17:16:18 +00:00			`- name: osm_id`
			`type: id`
			`- name: geometry`
			`type: geometry`
			`- name: housenumber`
			`key: addr:housenumber`
			`type: string`
Tile duplicate housenumber filtering (#1391) This PR introduces simple filtering of duplicate housenumbers. Simple means that filtering is done withing the tile. Duplicates are defined as same housenumber, street, block_number[1]. Duplicates are usually caused by POIs. People like to add addresses to them. Most POIs have names so to prioritize addresses we pick features without names first. Formula is: `row_number() OVER(PARTITION BY concat(street, block_number, housenumber) ORDER BY has_name ASC) == 1` 2023-01-17 08:34:27 +00:00			`- name: street`
			`key: addr:street`
			`type: string`
			`- name: block_number`
			`key: addr:block_number`
			`type: string`
			`- name: has_name`
			`key: name`
			`type: string`
Add layer housenumber 2016-10-25 17:16:18 +00:00			`type_mappings:`
			`points:`
			`addr:housenumber:`
			`- __any__`
			`polygons:`
			`addr:housenumber:`
			`- __any__`