Tom Kralidis
280 lines
8.5 KiB
YAML
280 lines
8.5 KiB
YAML
server:
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bind:
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host: 0.0.0.0
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port: 80
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url: /dev/
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mimetype: application/json; charset=UTF-8
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encoding: utf-8
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language: en-US
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cors: true
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pretty_print: true
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limit: 10
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# templates: /path/to/templates
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logging:
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level: ERROR
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#logfile: /tmp/pygeoapi.log
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metadata:
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identification:
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title: pygeoapi default instance
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description: pygeoapi provides an API to geospatial data
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keywords:
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- geospatial
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- data
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- api
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keywords_type: theme
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terms_of_service: None
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url: http://example.org
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license:
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name: CC-BY 4.0 license
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url: https://creativecommons.org/licenses/by/4.0/
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provider:
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name: Organization Name
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url: https://pygeoapi.io
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contact:
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name: Lastname, Firstname
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position: Position Title
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address: Mailing Address
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city: City
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stateorprovince: Administrative Area
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postalcode: Zip or Postal Code
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country: Country
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phone: +xx-xxx-xxx-xxxx
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fax: +xx-xxx-xxx-xxxx
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email: you@example.org
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url: Contact URL
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hours: Hours of Service
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instructions: During hours of service. Off on weekends.
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role: pointOfContact
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datasets:
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obs:
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title: Observations
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description: Observations
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keywords:
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- observations
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- monitoring
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crs:
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- CRS84
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links:
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- type: text/csv
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rel: canonical
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title: data
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href: https://github.com/mapserver/mapserver/blob/branch-7-0/msautotest/wxs/data/obs.csv
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hreflang: en-US
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- type: text/csv
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rel: alternate
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title: data
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href: https://raw.githubusercontent.com/mapserver/mapserver/branch-7-0/msautotest/wxs/data/obs.csv
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hreflang: en-US
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extents:
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spatial:
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bbox: [-180,-90,180,90]
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temporal:
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begin: 2000-10-30T18:24:39Z
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end: 2007-10-30T08:57:29Z
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provider:
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name: CSV
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data: tests/data/obs.csv
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id_field: id
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geometry:
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x_field: long
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y_field: lat
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ne_110m_populated_places_simple:
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title: Populated Places
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description: Point symbols with name attributes. Includes all admin-0 capitals and some other major cities. We favor regional significance over population census in determining our selection of places. Use the scale rankings to filter the number of towns that appear on your map.
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keywords:
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- populated places
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- cities
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- towns
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crs:
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- CRS84
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links:
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- type: text/html
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rel: canonical
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title: information
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href: http://www.naturalearthdata.com/downloads/110m-cultural-vectors/110m-populated-places/
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hreflang: en-US
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- type: application/gzip
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rel: canonical
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title: download
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href: http://www.naturalearthdata.com/http//www.naturalearthdata.com/download/110m/cultural/ne_110m_populated_places_simple.zip
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hreflang: en-US
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extents:
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spatial:
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bbox: [-180,-90,180,90]
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provider:
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name: Elasticsearch
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data: http://localhost:9200/ne_110m_populated_places_simple/FeatureCollection
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id_field: geonameid
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lakes:
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title: Large Lakes
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description: lakes of the world, public domain
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keywords:
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- lakes
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crs:
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- CRS84
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links:
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- type: text/html
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rel: canonical
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title: information
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href: http://www.naturalearthdata.com/
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hreflang: en-US
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extents:
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spatial:
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bbox: [-180,-90,180,90]
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temporal:
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begin: 2011-11-11
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end: now # or empty
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provider:
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name: GeoJSON
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data: tests/data/ne_110m_lakes.geojson
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id_field: id
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countries:
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title: Countries in the world
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description: Countries of the world
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keywords:
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- countries
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- natural eart
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crs:
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- CRS84
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links:
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- type: text/html
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rel: canonical
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title: information
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href: http://www.naturalearthdata.com/
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hreflang: en-US
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extents:
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spatial:
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bbox: [-180,-90,180,90]
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temporal:
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begin: None
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end: now # or empty
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provider:
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name: SQLite
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data: tests/data/ne_110m_admin_0_countries.sqlite
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id_field: ogc_fid
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table: ne_110m_admin_0_countries
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poi:
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title: Portuguese point of interrest
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description: Portuguese points of interrest obtained from OpenStreetMap. Dataset includes Madeira and Azores islands
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keywords:
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- Portugal
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- POI
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- Point of Interrest
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- Madeira
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- Azores
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- OSM
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- Open Street Map
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- NaturaGIS
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crs:
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- CRS84
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links:
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- type: text/html
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rel: canonical
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title: information
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href: https://wiki.openstreetmap.org/wiki/Points_of_interest/
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hreflang: en-US
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extents:
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spatial:
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bbox: [-31.2687 32.5898 -6.18992 42.152]
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temporal:
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begin: None
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end: now # or empty
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provider:
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name: GeoPackage
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data: tests/data/poi_portugal.gpkg
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id_field: osm_id
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table: poi_portugal
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hotosm_bdi_waterways:
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title: Waterways of Burundi
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description: Waterways of Burundi, Africa. Dataset timestamp 1st Sep 2018 - Humanitarian OpenStreetMap Team (HOT)
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keywords:
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- Burundi
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- Waterways
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- Africa
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- OSM
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- HOT
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crs:
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- CRS84
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links:
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- type: text/html
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rel: canonical
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title: information
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href: https://data.humdata.org/dataset/hotosm_bdi_waterways
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hreflang: en-US
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extents:
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spatial:
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bbox: [28.9845376683957 -4.48174334765485,30.866396969019 -2.3096796]
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temporal:
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begin: None
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end: now # or empty
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provider:
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name: PostgreSQL
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data:
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host: 127.0.0.1
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dbname: test
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user: postgres
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password: postgres
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port: 5432
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schema: public
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id_field: osm_id
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table: hotosm_bdi_waterways
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dutch_georef_stations:
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title: Dutch Georef Stations via OGR WFS
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description: Locations of RD/GNSS-reference stations from Dutch Kadaster PDOK a.k.a RDInfo. Uses MapServer WFS v2 backend via OGRProvider.
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keywords:
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- Netherlands
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- GNSS
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- Surveying
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- Holland
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- RD
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crs:
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- CRS84
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links:
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- type: text/html
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rel: canonical
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title: information
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href: http://www.nationaalgeoregister.nl/geonetwork/srv/dut/catalog.search#/metadata/3ebe56dc-5f09-4fb3-b224-55c2db4ca2fd?tab=general
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hreflang: nl-NL
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extents:
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spatial:
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bbox: [50.7539, 7.21097, 53.4658, 3.37087]
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temporal:
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begin: None
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end: now # or empty
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provider:
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name: OGR
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data:
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source_type: WFS
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source: WFS:http://geodata.nationaalgeoregister.nl/rdinfo/wfs?
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source_srs: EPSG:28992
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target_srs: EPSG:4326
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source_capabilities:
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paging: True
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source_options:
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# OGR_WFS_VERSION: 1.1.0
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OGR_WFS_LOAD_MULTIPLE_LAYER_DEFN: NO
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gdal_ogr_options:
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EMPTY_AS_NULL: NO
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GDAL_CACHEMAX: 64
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# GDAL_HTTP_PROXY: (optional proxy)
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# GDAL_PROXY_AUTH: (optional auth for remote WFS)
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CPL_DEBUG: NO
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id_field: gml_id
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layer: rdinfo:stations
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processes:
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hello-world:
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processor:
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name: HelloWorld
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