pygeoapi/tests/data

Test Data

This directory provides test data to demonstrate functionality.

Sources

ne_110m_lakes.geojson and tiles/ne_110m_lakes

• source: Natural Earth Lakes + Reservoirs
• URL: https:/naturalearthdata.com/downloads/110m-physical-vectors/110mlakes-reservoirs/
• Shapefile converted to GeoJSON. Tiles created with tippecanoe
• Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

ne_110m_admin_0_countries.sqlite

• source: Natural Earth Admin 0 - Countries
• URL: https://naturalearthdata.com/downloads/110m-cultural-vectors/110m-admin-0-countries/
• Shapefile converted to SQLite
• Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

ne_110m_populated_places_simple.geojson

• source: Natural Earth Populated Places
• URL: https://naturalearthdata.com/downloads/110m-cultural-vectors/110m-populated-places/
• Shapefile converted to GeoJSON
• Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

obs.csv

• source: MapServer msautotest suite
• URL: https://github.com/mapserver/mapserver/blob/branch-7-0/msautotest/wxs/data/obs.csv
• Copyright (c) 2008-2018 Open Source Geospatial Foundation
• Copyright (c) 1996-2008 Regents of the University of Minnesota

station_list.csv

• source: wis2box test data
• URL: https://github.com/wmo-im/wis2box/blob/main/tests/data/metadata/station/station_list.csv
• License: https://github.com/wmo-im/wis2box/blob/main/LICENSE

poi_portugal.gpkg

• source: OpenStreetMap - Natural GIS
• URL: https://naturalgis.pt/cgi-bin/opendata/mapserv?service=WFS&request=GetCapabilities
• Data obtained from WFS instance of NaturalGIS company (https://naturalgis.pt/en/) and converted to geopackage
• Upstream data from OpenStreetMap extract for Portugal

hotosm_bdi_waterways.sql.gz

• source: OpenStreetMap - Humanitarian OpenStreetMap Team (HOT)
• URL: hotosm_bdi_waterways
• Waterways of Burundi
• Date of dataset: Sep 01, 2018
• Location: Burundi, Africa

CMC_glb_*.grib2

• source: Meteorological Service of Canada Datamrt
• URL: https://dd.weather.gc.ca/model_gem_global/15km/grib2/lat_lon/00/000
• License: https://eccc-msc.github.io/open-data/licence/readme_en

CMIP5_rcp8.5_annual_abs_latlon1x1_PCP_pctl25_P1Y.nc

• source: Canadian Centre for Climate Services
• URL: https://dd.weather.gc.ca/climate/cmip5/netcdf/scenarios/RCP8.5/annual/absolute/CMIP5_rcp8.5_annual_abs_latlon1x1_PCP_pctl25_P1Y.nc
• License: https://eccc-msc.github.io/open-data/licence/readme_en

coads_sst.nc

• source: NOAA Physical Sciences Library
• URL: https://psl.noaa.gov/data/gridded/data.coads.1deg.html
• License: ICOADS data provided by the NOAA/OAR/ESRL PSL, Boulder, Colorado, USA, from their Web site at https://psl.noaa.gov.

analysed_sst.nc

• source: NASA Physical Oceanography Distributed Active Archive Center
• URL: https://registry.opendata.aws/mur
• License: https://registry.opendata.aws/mur/#License

open.canada.ca/sample-records.tinydb

• source: Open Data Canada
• URL: https://csw.open.canada.ca/geonetwork/srv/csw?service=CSW&version=2.0.2&request=GetRecords&outputschema=http://www.isotc211.org/2005/gmd&resulttype=results (2021-02-18)
• License: https://www.canada.ca/en/transparency/terms.html
• Notes
  • ISO records transformed to OGC API - Records GeoJSONs with tests/load_tinydb_records.py

dutch_addresses_*

• source: Dutch Kadaster
• URL: https://geodata.nationaalgeoregister.nl/inspireadressen/wfs?request=GetCapabilities&service=wfs (discontinued, see below)
• License: CC0 1.0 https://creativecommons.org/publicdomain/zero/1.0/deed.nl
• Notes
  • above WFS was switched off in June 2022
  • address-records derived by Kadaster from the Dutch "Buildings and Addresses" key registry (BAG)
  • WMS is still available: https://service.pdok.nl/kadaster/adressen/wms/v1_0?request=GetCapabilities&service=WMS
  • raw dataset BAG (GML, about 2GB) can always be downloaded via the Atom Feed

items.geojson

• source: Wikipedia
• URL: https://en.wikipedia.org/wiki/GeoJSON#Geometries
• License: CC0 3.0 https://creativecommons.org/licenses/by-sa/3.0/
• Notes
  • items.geojson tests pygeoapi's capability to serialize all geometry types for individual collection items in JSON-LD formats, including GeoSPARQL WKT and schema.org/geo
  • The features represent the range of GeoJSON geometry types, instead of real locations. Additionally, each feature has a uri defined in the properties block