Examples on using pydggapi endpoints

This notebook illustrates some sample uses of the OGC DGGS-API endpoint. The API endpoints can be categorised into three categories.

DGGS API endpoints:

The queries below work on all datasets defined in the dggs_api_config.json file. The API only returns results if the zones of the query exist in any of the collections. The API endpoints are organised by conformance class.

Core conformance class
- (/) : landing page
- (/dggs) : query supported dggrs
- (/dggs/<dggrs_id>) : query dggrs definition
- (/dggs/<dggrs_id>/zones/<zone_id>) : query zone info
Zone Query conformance class
- (/dggs/<dggrs_id>/zones) : listing zones of a specific bounding box.
Zone Data Retrieval conformance class
- (/dggs/<dggrs_id>/zones/<zone_id>/data) : get data for a specific zone

Collection DGGRS API endpoints:

Apart from query zones for all datasets, the above queries can be used for a specific collection:

(/collections): list all collections that are published
(/collections/<collection_id>): list the meta data of the specific collection
(/collections/<collection_id>/queryables): list the attributes of the specific collection
(/collections/<collection_id>/dggs/...): Only query on the specific collection with the DGGS API endpoints from above.

Tiles API for collection: The API supports returning collection data in vector tile format. This enables applications such as QGIS to visualise the data as a layer easily.

(/tiles-api/<collection_id>.json) : It returns the tiles json of the collection
(/tiles-api/<collection_id>/{z}/{x}/{y}): The tiles source url

Setup

All api endpoints work with HTTP GET requests. In this example, we primarily use the requests library to perform HTTP queries.

The API returns JSON by default; it also supports returning various data types, which we will demonstrate in the upcoming section.

import requests
# to display the return json
import json
from IPython.display import display, JSON, GeoJSON

# define the api root url
api_root = "http://127.0.0.1:8000"
dggs_api_root=f"{api_root}/dggs-api"

DGGS API endpoints

DGGS API Core conformance class

landing page (`<dggs_api_root>/`)

The landing page provides links to the API definition.

# send the query, and parse the return to json
query_return = requests.get(dggs_api_root).json()
# display it nicely with IPython display module
JSON(query_return)

"root":
{
- "description": "OGC DGGS API",
- "links":
  [
  - {
    "href": "http://127.0.0.1:8000/dggs-api/",
    "rel": "self",
    "title": "Landing Page",
    "type": "application/json"
    },
  - {
    "href": "http://127.0.0.1:8000/openapi.json",
    "rel": "service-desc",
    "title": "OpenAPI specification",
    "type": "application/vnd.oai.openapi+json; version=3.1"
    },
  - {
    "href": "http://127.0.0.1:8000/docs",
    "rel": "service-doc",
    "title": "OpenAPI swagger interface",
    "type": "text/html"
    },
  - {
    "href": "https://docs.ogc.org/DRAFTS/21-038.html",
    "rel": "describedby",
    "title": "API Documentation",
    "type": "text/html"
    },
  - {
    "href": "http://127.0.0.1:8000/dggs-api/conformance",
    "rel": "http://www.opengis.net/def/rel/ogc/1.0/conformance",
    "title": "Conformance classes implemented by this API.",
    "type": "application/json"
    },
  - {
    "href": "http://127.0.0.1:8000/dggs-api/dggs",
    "rel": "[ogc-rel:dggrs-list]",
    "title": "List of DGGS implemented by this API.",
    "type": "application/json"
    }
  ],
- "title": "University of Tartu, OGC DGGS API v1-pre",
- "version": "0.1.5"
}

Query supported dggrs (`<dggs_api_root>/dggs`)

This query lists all DGGRs supported by the API instance in the list dggrs.

query_return = requests.get(dggs_api_root+'/dggs').json()
JSON(query_return)

"root":
{
- "dggrs":
  [
  - {
    "id": "igeo7",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/dggs/igeo7",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "DGGRS description link",
    "type": null
    },
    {
    "href": "https://agile-giss.copernicus.org/articles/6/32/2025/",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-definition]",
    "title": "DGGRS definition",
    "type": null
    }
    ],
    "title": "IGEO7 DGGRS with z7string",
    "uri": null
    },
  - {
    "id": "h3",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/dggs/h3",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "DGGRS description link",
    "type": null
    },
    {
    "href": "https://h3geo.org/",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-definition]",
    "title": "DGGRS definition",
    "type": null
    }
    ],
    "title": "H3 indexes points and shapes into a hexagonal grid.",
    "uri": null
    },
  - {
    "id": "rhealpix",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/dggs/rhealpix",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "DGGRS description link",
    "type": null
    },
    {
    "href": "https://www.opengis.net/def/dggrs/OGC/1.0/rHEALPix",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-definition]",
    "title": "DGGRS definition",
    "type": null
    }
    ],
    "title": "rHEALPix using dggal",
    "uri": null
    },
  - {
    "id": "ivea7h",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/dggs/ivea7h",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "DGGRS description link",
    "type": null
    },
    {
    "href": "https://docs.ogc.org/is/21-038r1/21-038r1.html#ivea7h-dggrs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-definition]",
    "title": "DGGRS definition",
    "type": null
    }
    ],
    "title": "IVEA7H using dggal",
    "uri": null
    }
  ],
- "links":
  [
  - {
    "href": "http://127.0.0.1:8000/dggs-api/dggs",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "Current page",
    "type": null
    },
  - {
    "href": "http://127.0.0.1:8000/dggs-api/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS API landing page",
    "type": null
    }
  ]
}

Query dggrs definition (`<dggs_api_root>/dggs/<dggrs_id>`)

This query returns the definition and details of the dggrs

query_return = requests.get(dggs_api_root+'/dggs/igeo7').json()
display(JSON(query_return))

"root":
{
- "crs": "wgs84",
- "defaultDepth": 1,
- "description": "IGEO7, a novel pure aperture 7 hexagonal DGGS, and Z7, its associated hierarchical integer indexing system",
- "id": "igeo7",
- "keywords": null,
- "linkTemplates":
  [
  - {
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-zone-data]",
    "title": "Dggrs zone-query link",
    "type": null,
    "uriTemplate": "http://127.0.0.1:8000/dggs-api/dggs/igeo7/zones/{zoneId}/data",
    "varBase": null
    }
  ],
- "links":
  [
  - {
    "href": "http://127.0.0.1:8000/dggs-api/dggs/igeo7",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "DGGRS description link",
    "type": null
    },
  - {
    "href": "https://agile-giss.copernicus.org/articles/6/32/2025/",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-definition]",
    "title": "DGGRS definition",
    "type": null
    },
  - {
    "href": "http://127.0.0.1:8000/dggs-api/dggs/igeo7/zones",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-zone-query]",
    "title": "Dggrs zone-query link",
    "type": null
    }
  ],
- "maxRefinementLevel": 9,
- "maxRelativeDepth": null,
- "title": "IGEO7 DGGRS with z7string",
- "uri": null
}

Query zone info (`<dggs_api_root>/dggs/<dggrs_id>/zones/<zone_id>`)

This query returns the zone’s properties (zone’s centroid, zone’s geometry and area etc.)

query_return = requests.get(dggs_api_root+'/dggs/igeo7/zones/0001022010').json()
JSON(query_return)

"root":
{
- "areaMetersSquare": 8847931.1,
- "bbox":
  [
  - 27.02890337487201,
  - 58.08751236679606,
  - 27.08031606884081,
  - 58.12433105352331
  ],
- "centroid":
  {
  - "coordinates":
    [
    27.054615907577755,
    58.10592266258455
    ],
  - "type": "Point"
  },
- "crs": "wgs84",
- "geometry":
  {
  - "coordinates":
    [
    [
    [
    27.051648598071193,
    58.12433105352331
    ],
    [
    27.02890337487201,
    58.11404613541057
    ],
    [
    27.03188517452523,
    58.095636388669476
    ],
    [
    27.057582175925745,
    58.08751236679606
    ],
    [
    27.08031606884081,
    58.097794431660816
    ],
    [
    27.077364294296444,
    58.11620336732916
    ],
    [
    27.051648598071193,
    58.12433105352331
    ]
    ]
    ],
  - "type": "Polygon"
  },
- "id": "0001022010",
- "level": 8,
- "links":
  [
  - {
    "href": "http://127.0.0.1:8000/dggs-api/dggs/igeo7/zones/0001022010/data",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-zone-data]",
    "title": "Link to data-retrieval for the zoneId)",
    "type": null
    },
  - {
    "href": "http://127.0.0.1:8000/dggs-api/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs]",
    "title": "Link back to /dggs (get list of supported dggs)",
    "type": null
    }
  ],
- "shapeType": "hexagon",
- "temporalDurationSeconds": null,
- "temporalInterval": null,
- "volumeMetersCube": null
}

DGGS API Zone Query conformance class

Zone Query (`<dggs_api_root>/dggs/<dggrs_id>/zones`)

This query accepts the following query parameters:

bbox
- Bounding box of the query. The bounding box is provided as four coordinates, in the order of minx,miny,maxx and maxy
zone-level
- For specifying a level at which to return a list of DGGRS zones using a zone_level query parameter.
compact-zone
- For specifying whether to retrieve a list of DGGRS zones using a compact_zones query parameter.
parent-zone
- For specifying a parent zone within which to restrict zone listing using a parent_zone query parameter.
geometry
- Specify the return geometry (zone-centroid or zone-region), defaults to zone-region
filter
- A CQL2 filter string
datetime
- Specify the datetime interval

Users can specify the return type in the HTTP header or using the format query string. The zone query supports the following return types, defualts to json:

?f=json or set application/json in the http header
?f=geojson or application/geo+json in the http header

`&f=geojson`: Change the return type to geojson

parent_zone='0001026' 
query_return = requests.get(dggs_api_root+'/dggs/igeo7/zones', params={'parent-zone': parent_zone, 'zone-level': zone_level,
                                                                  'compact-zone': False, 'f': 'geojson'}) 
query_return = query_return.json()
JSON(query_return)

"root":
{
- "features":
  [
  - {
    "geometry":
    {
    "coordinates":
    [
    [
    [
    26.23781269662142,
    58.16906390541945
    ],
    [
    26.08095146144033,
    58.095876928134764
    ],
    [
    26.105915368880158,
    57.9668926801011
    ],
    [
    26.286268189539925,
    57.911124828443675
    ],
    [
    26.44259207390999,
    57.98417353902686
    ],
    [
    26.41910198263355,
    58.113126869980356
    ],
    [
    26.23781269662142,
    58.16906390541945
    ]
    ]
    ],
    "type": "Polygon"
    },
    "id": 0,
    "properties":
    {
    "zoneId": "00012455"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    [
    [
    26.371925657685154,
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    ],
    [
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    ],
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    ],
    [
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    ],
    [
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    ],
    [
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    ],
    [
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    ]
    ]
    ],
    "type": "Polygon"
    },
    "id": 1,
    "properties":
    {
    "zoneId": "00010263"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    [
    [
    26.713639666261916,
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    ],
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    ],
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    ],
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    ]
    ]
    ],
    "type": "Polygon"
    },
    "id": 2,
    "properties":
    {
    "zoneId": "00010224"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    [
    [
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    ],
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    ]
    ]
    ],
    "type": "Polygon"
    },
    "id": 3,
    "properties":
    {
    "zoneId": "00010206"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
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    [
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    "type": "Polygon"
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    "id": 4,
    "properties":
    {
    "zoneId": "00010265"
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    "type": "Feature"
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    "type": "Polygon"
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    "id": 5,
    "properties":
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    "zoneId": "00010261"
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    "type": "Feature"
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    "id": 6,
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    "type": "Polygon"
    },
    "id": 11,
    "properties":
    {
    "zoneId": "00010266"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    [
    [
    26.030811496680204,
    58.35355360086095
    ],
    [
    25.873420664904234,
    58.28022340158156
    ],
    [
    25.89923105530989,
    58.15137271373718
    ],
    [
    26.08095146144033,
    58.095876928134764
    ],
    [
    26.23781269662142,
    58.16906390541945
    ],
    [
    26.21348467538352,
    58.297888400604926
    ],
    [
    26.030811496680204,
    58.35355360086095
    ]
    ]
    ],
    "type": "Polygon"
    },
    "id": 12,
    "properties":
    {
    "zoneId": "00010262"
    },
    "type": "Feature"
    }
  ],
- "type": "FeatureCollection"
}

`geometry`: Change the return type to geojson and return zone centroid instead of zone region

parent_zone='0001026' 
compact_zone=False
geometry = 'zone-centroid'
query_return = requests.get(dggs_api_root+'/dggs/igeo7/zones', params={'parent-zone': parent_zone, 'zone-level': zone_level,
                                                                  'compact-zone': compact_zone,'geometry': geometry,
                                                                  'f': 'geojson'}) 
query_return = query_return.json()
JSON(query_return)

"root":
{
- "features":
  [
  - {
    "geometry":
    {
    "coordinates":
    [
    26.262071439025963,
    58.040143394791855
    ],
    "type": "Point"
    },
    "id": 0,
    "properties":
    {
    "zoneId": "00012455"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    26.39554889225728,
    58.24198408505887
    ],
    "type": "Point"
    },
    "id": 1,
    "properties":
    {
    "zoneId": "00010263"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    26.735779599599233,
    58.25828806558629
    ],
    "type": "Point"
    },
    "id": 2,
    "properties":
    {
    "zoneId": "00010224"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    26.531240699614344,
    58.44333858289153
    ],
    "type": "Point"
    },
    "id": 3,
    "properties":
    {
    "zoneId": "00010261"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    26.669138684066223,
    58.644214656016615
    ],
    "type": "Point"
    },
    "id": 4,
    "properties":
    {
    "zoneId": "00010206"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    26.32444054589541,
    58.627998933635546
    ],
    "type": "Point"
    },
    "id": 5,
    "properties":
    {
    "zoneId": "00010265"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    26.189080166346685,
    58.4266188734228
    ],
    "type": "Point"
    },
    "id": 6,
    "properties":
    {
    "zoneId": "00010260"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    25.98034004266221,
    58.61085440946588
    ],
    "type": "Point"
    },
    "id": 7,
    "properties":
    {
    "zoneId": "00010264"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    26.115336685901646,
    58.812265406050834
    ],
    "type": "Point"
    },
    "id": 8,
    "properties":
    {
    "zoneId": "00010242"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    25.636856184632236,
    58.59278486194051
    ],
    "type": "Point"
    },
    "id": 9,
    "properties":
    {
    "zoneId": "00016113"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    25.847528263187638,
    58.40897823628295
    ],
    "type": "Point"
    },
    "id": 10,
    "properties":
    {
    "zoneId": "00010266"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    26.055919287192776,
    58.22476322840298
    ],
    "type": "Point"
    },
    "id": 11,
    "properties":
    {
    "zoneId": "00010262"
    },
    "type": "Feature"
    },
  - {
    "geometry":
    {
    "coordinates":
    [
    25.71690916368979,
    58.20662931976753
    ],
    "type": "Point"
    },
    "id": 12,
    "properties":
    {
    "zoneId": "00016131"
    },
    "type": "Feature"
    }
  ],
- "type": "FeatureCollection"
}

`filter`: Using CQL2 string to filter records for all collections

Common Query language (CQL)

CQL Expression

Before applying the CQL2 filter feature, users need to know which attributes are available for filtering.

Users can use the collections/<collection_id>/querables to find out those attributes. Find out more details of the collection api here

collection_id='suitability_hytruck_parquet_local' 
query_return = requests.get(dggs_api_root+f'/collections/{collection_id}/queryables')
query_return = query_return.json()
JSON(query_return)

"root":
{
- "$id": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_parquet_local/queryables",
- "$schema": "https://json-schema.org/draft/2020-12/schema",
- "properties":
  {
  - "suitability_hytruck_parquet_local.ahp_suitability_value":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_natura2000_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_seashore_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_serviceareas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.cell_ids":
    {
    "type": "string"
    },
  - "suitability_hytruck_parquet_local.modelled_corridor_points_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_fuel_stations_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_gas_pipelines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_hydrogen_pipelines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_industrial_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_powerlines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_powerplants_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_residential_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_rest_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_riverlines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_seashore_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_slope_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_solar_wind_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_transport_nodes_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_urban_nodes_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_water_bodies_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.partnerCountries_extent_encoded_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.survey_suitability_value":
    {
    "format": "float64",
    "type": "number"
    }
  },
- "type": "object"
}

From the list of properties, users can find the attribute name in the form of <collection_id>.<attribute_name>. When using the CQL2 filter, only the attribute name is needed. In this case, the filter works on multiple collections if those collections share the same attribute name.

bbox = "25.329803558251513,57.99111013411327,27.131561370751513,58.634545591972696"
zone_level=7
compact_zone=False
# looking for zones that the attribute modelled_slope_band_1 >=6
cql_filter = "modelled_slope_band_1 >= 6"
query_return = requests.get(dggs_api_root+'/dggs/igeo7/zones', params={'bbox': bbox, 'zone-level': zone_level,
                                                                  'compact-zone': compact_zone, 'filter': cql_filter}) 
query_return = query_return.json()
JSON(query_return)

"root":
{
- "returnedAreaMetersSquare": 9166456634.400011,
- "zones":
  [
  - "000102000",
  - "000102002",
  - "000102003",
  - "000102006",
  - "000102020",
  - "000102021",
  - "000102022",
  - "000102023",
  - "000102024",
  - "000102025",
  - "000102026",
  - "000102032",
  - "000102034",
  - "000102036",
  - "000102060",
  - "000102061",
  - "000102062",
  - "000102063",
  - "000102066",
  - "000102200",
  - "000102201",
  - "000102202",
  - "000102203",
  - "000102204",
  - "000102205",
  - "000102206",
  - "000102214",
  - "000102216",
  - "000102225",
  - "000102235",
  - "000102240",
  - "000102241",
  - "000102242",
  - "000102243",
  - "000102244",
  - "000102245",
  - "000102246",
  - "000102250",
  - "000102251",
  - "000102252",
  - "000102253",
  - "000102254",
  - "000102255",
  - "000102256",
  - "000102260",
  - "000102261",
  - "000102262",
  - "000102263",
  - "000102264",
  - "000102265",
  - "000102266",
  - "000102600",
  - "000102601",
  - "000102602",
  - "000102603",
  - "000102605",
  - "000102610",
  - "000102611",
  - "000102612",
  - "000102613",
  - "000102614",
  - "000102615",
  - "000102616",
  - "000102620",
  - "000102621",
  - "000102622",
  - "000102623",
  - "000102624",
  - "000102626",
  - "000102630",
  - "000102631",
  - "000102632",
  - "000102633",
  - "000102634",
  - "000102635",
  - "000102636",
  - "000102640",
  - "000102641",
  - "000102643",
  - "000102644",
  - "000102646",
  - "000102650",
  - "000102651",
  - "000102652",
  - "000102653",
  - "000102654",
  - "000102656",
  - "000102660",
  - "000102662",
  - "000102664",
  - "000102665",
  - "000102666",
  - "000124540",
  - "000124541",
  - "000124543",
  - "000124544",
  - "000124545",
  - "000124546",
  - "000124550",
  - "000124551",
  - "000124552",
  - "000124553",
  - "000124554",
  - "000124555",
  - "000124556",
  - "000161120",
  - "000161121",
  - "000161122",
  - "000161123",
  - "000161125",
  - "000161130",
  - "000161131",
  - "000161132",
  - "000161133",
  - "000161134",
  - "000161135",
  - "000161136",
  - "000161300",
  - "000161301",
  - "000161302",
  - "000161303",
  - "000161304",
  - "000161305",
  - "000161306",
  - "000161310",
  - "000161311",
  - "000161312",
  - "000161313",
  - "000161314",
  - "000161315",
  - "000161316",
  - "000161321",
  - "000161325",
  - "000161330",
  - "000161331",
  - "000161333",
  - "000161334",
  - "000161335",
  - "000161336",
  - "000161341",
  - "000161343",
  - "000161350",
  - "000161351",
  - "000161352",
  - "000161353",
  - "000161354",
  - "000161355",
  - "000161356"
  ]
}

bbox = "25.329803558251513,57.99111013411327,27.131561370751513,58.634545591972696"
zone_level=7
compact_zone=False
# demonstrate the filter by changing the value to >=10
cql_filter = "modelled_slope_band_1 >= 10"
query_return = requests.get(dggs_api_root+'/dggs/igeo7/zones', params={'bbox': bbox, 'zone-level': zone_level,
                                                                  'compact-zone': compact_zone, 'filter': cql_filter}) 
query_return = query_return.json()
JSON(query_return)

"root":
{
- "returnedAreaMetersSquare": 4149679692.600005,
- "zones":
  [
  - "000102000",
  - "000102003",
  - "000102006",
  - "000102020",
  - "000102021",
  - "000102024",
  - "000102025",
  - "000102026",
  - "000102034",
  - "000102036",
  - "000102063",
  - "000102066",
  - "000102200",
  - "000102201",
  - "000102205",
  - "000102206",
  - "000102214",
  - "000102216",
  - "000102225",
  - "000102235",
  - "000102241",
  - "000102244",
  - "000102251",
  - "000102252",
  - "000102253",
  - "000102254",
  - "000102255",
  - "000102256",
  - "000102263",
  - "000102600",
  - "000102601",
  - "000102602",
  - "000102603",
  - "000102605",
  - "000102610",
  - "000102611",
  - "000102614",
  - "000102615",
  - "000102624",
  - "000102626",
  - "000102634",
  - "000102640",
  - "000102641",
  - "000102651",
  - "000102652",
  - "000102654",
  - "000102656",
  - "000102660",
  - "000102662",
  - "000102664",
  - "000124553",
  - "000124555",
  - "000124556",
  - "000161122",
  - "000161132",
  - "000161133",
  - "000161134",
  - "000161135",
  - "000161300",
  - "000161301",
  - "000161302",
  - "000161304",
  - "000161305",
  - "000161306",
  - "000161321",
  - "000161325",
  - "000161355"
  ]
}

If no records are found in all collections, the API returns empty content (HTTP status code 204).

bbox = "25.329803558251513,57.99111013411327,27.131561370751513,58.634545591972696"
zone_level=7
compact_zone=False
# demonstrate the filter by changing the value to >=10
cql_filter = "modelled_slope_band_1 > 10"
query_return = requests.get(dggs_api_root+'/dggs/igeo7/zones', params={'bbox': bbox, 'zone-level': zone_level,
                                                                  'compact-zone': compact_zone, 'filter': cql_filter})

if (query_return.status_code != 204):
    query_return = query_return.json()
    display(JSON(query_return))
else:
    print("empty return")

empty return

bbox = "25.329803558251513,57.99111013411327,27.131561370751513,58.634545591972696"
zone_level=7
compact_zone=False
# A more complex CQL expression
cql_filter = "(survey_suitability_value > 2 AND survey_suitability_value < 4) \
               AND modelled_slope_band_1 >=10"
query_return = requests.get(dggs_api_root+'/dggs/igeo7/zones', params={'bbox': bbox, 'zone-level': zone_level,
                                                                  'compact-zone': compact_zone, 'filter': cql_filter})

if (query_return.status_code != 204):
    query_return = query_return.json()
    display(JSON(query_return))
else:
    print("empty return")

"root":
{
- "returnedAreaMetersSquare": 2849033818.800001,
- "zones":
  [
  - "000102000",
  - "000102003",
  - "000102006",
  - "000102025",
  - "000102034",
  - "000102036",
  - "000102200",
  - "000102201",
  - "000102205",
  - "000102206",
  - "000102214",
  - "000102216",
  - "000102225",
  - "000102235",
  - "000102241",
  - "000102251",
  - "000102252",
  - "000102254",
  - "000102255",
  - "000102256",
  - "000102263",
  - "000102600",
  - "000102601",
  - "000102602",
  - "000102624",
  - "000102626",
  - "000102640",
  - "000102641",
  - "000102651",
  - "000102652",
  - "000102654",
  - "000102656",
  - "000102660",
  - "000102662",
  - "000102664",
  - "000124553",
  - "000124555",
  - "000161133",
  - "000161134",
  - "000161135",
  - "000161302",
  - "000161304",
  - "000161305",
  - "000161306",
  - "000161321",
  - "000161325"
  ]
}

`datetime`: filter collections with datetime interval

The format of the datetime follows the RFC 3339, section 5.6. Users can specify a specific date or an interval with the following syntax:

To query data on a specific date: datetime=<datetime>
To query data within an interval: datetime=<datetime>/<datetime>
To query data after the specified datetime datetime=<datetime>/..
To query data before the specified datetime datetime=../<datetime>

bbox = "-98.46911119,48.62133077,-95.99420856, 50.77510588"
zone_level=5
compact_zone=False
# Datetime in YYYY-MM-DD format
datetime = "2025-09-11/.."
query_return = requests.get(dggs_api_root+'/dggs/igeo7/zones', params={'bbox': bbox, 'zone-level': zone_level,
                                                                  'compact-zone': compact_zone, 'datetime': datetime})

if (query_return.status_code != 204):
    query_return = query_return.json()
    display(JSON(query_return))
else:
    print("empty return")

"root":
{
- "returnedAreaMetersSquare": 30348403744.000008,
- "zones":
  [
  - "0213606",
  - "0213624",
  - "0213625",
  - "0213660",
  - "0213661",
  - "0213662",
  - "0213663",
  - "0213664",
  - "0213665",
  - "0213666"
  ]
}

DGGS API Zone data retrieval conformance class

Zone data retrieval (`<dggs_api_root>/dggs/<dggrs_id>/zones/<zone_id>/data`)

This query accepts the following query parameters:

zone-depth
- For specifying a level at which to return a list of DGGRS zones using a zone_level query parameter.
geometry
- Specify the return geometry (zone-centroid or zone-region), defaults to zone-region
filter
- A CQL2 filter string
datetime
- Specify the datetime interval

Users can specify the return type in the HTTP header or using the format query string. The zone query supports the following return types, defualts to json:

?f=json or set application/json in the http header (default)
?f=ubjson or application/ubjson in the http header
?f=geojson or application/geo+json in the http header
?f=zarr or application/zarr+zip in the http header

`zone-depth`: Return the data associated with the `zone_id` at the `zone_id`’s refinement level in DGGS-JSON format

zone_id = '000102062'
zone_depth = "0"
query_return = requests.get(dggs_api_root+f'/dggs/igeo7/zones/{zone_id}/data', params={'zone-depth': zone_depth})

if (query_return.status_code != 204):
    query_return = query_return.json()
    display(JSON(query_return))
else:
    print("empty return")

"root":
{
- "depths":
  [
  - 0
  ],
- "dggrs": "https://agile-giss.copernicus.org/articles/6/32/2025/",
- "dimensions": null,
- "properties":
  {
  - "suitability_hytruck.modelled_corridor_points":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_fuel_stations":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_gas_pipelines":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_hydrogen_pipelines":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_powerlines":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_residential_areas":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_rest_areas":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_seashore":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_slope":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_solar_wind":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_transport_nodes":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_urban_nodes":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_water_bodies":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck_parquet_local.ahp_suitability_value":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_natura2000_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_seashore_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_serviceareas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_corridor_points_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_fuel_stations_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_gas_pipelines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_hydrogen_pipelines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_industrial_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_powerlines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_powerplants_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_residential_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_rest_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_riverlines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_seashore_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_slope_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_solar_wind_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_transport_nodes_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_urban_nodes_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_water_bodies_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.partnerCountries_extent_encoded_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.survey_suitability_value":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.binary_natura2000_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.binary_seashore_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.binary_serviceareas_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_corridor_points_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_fuel_stations_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_gas_pipelines_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_hydrogen_pipelines_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_industrial_areas_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_powerlines_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_powerplants_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_residential_areas_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_rest_areas_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_riverlines_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_seashore_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_slope_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_solar_wind_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_transport_nodes_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_urban_nodes_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.modelled_water_bodies_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.partnerCountries_extent_encoded_band_1":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_zarr.spatial_ref":
    {
    "format": "float64",
    "type": "number"
    }
  },
- "values":
  {
  - "suitability_hytruck.modelled_corridor_points":
    [
    {
    "data":
    [
    0
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_fuel_stations":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_gas_pipelines":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_hydrogen_pipelines":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_powerlines":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_residential_areas":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_rest_areas":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_seashore":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_slope":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_solar_wind":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_transport_nodes":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_urban_nodes":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck.modelled_water_bodies":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.ahp_suitability_value":
    [
    {
    "data":
    [
    4.369668246445498
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.binary_natura2000_band_1":
    [
    {
    "data":
    [
    1
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.binary_seashore_band_1":
    [
    {
    "data":
    [
    1
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.binary_serviceareas_band_1":
    [
    {
    "data":
    [
    0
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_corridor_points_band_1":
    [
    {
    "data":
    [
    0
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_fuel_stations_band_1":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_gas_pipelines_band_1":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_hydrogen_pipelines_band_1":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_industrial_areas_band_1":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_powerlines_band_1":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_powerplants_band_1":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_residential_areas_band_1":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_rest_areas_band_1":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_riverlines_band_1":
    [
    {
    "data":
    [
    10
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_seashore_band_1":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_slope_band_1":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_solar_wind_band_1":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_transport_nodes_band_1":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_urban_nodes_band_1":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.modelled_water_bodies_band_1":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.partnerCountries_extent_encoded_band_1":
    [
    {
    "data":
    [
    3
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_parquet_local.survey_suitability_value":
    [
    {
    "data":
    [
    4.526558891454965
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.binary_natura2000_band_1":
    [
    {
    "data":
    [
    1
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.binary_seashore_band_1":
    [
    {
    "data":
    [
    1
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.binary_serviceareas_band_1":
    [
    {
    "data":
    [
    0
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_corridor_points_band_1":
    [
    {
    "data":
    [
    0
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_fuel_stations_band_1":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_gas_pipelines_band_1":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_hydrogen_pipelines_band_1":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_industrial_areas_band_1":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_powerlines_band_1":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_powerplants_band_1":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_residential_areas_band_1":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_rest_areas_band_1":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_riverlines_band_1":
    [
    {
    "data":
    [
    10
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_seashore_band_1":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_slope_band_1":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_solar_wind_band_1":
    [
    {
    "data":
    [
    2
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_transport_nodes_band_1":
    [
    {
    "data":
    [
    4
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_urban_nodes_band_1":
    [
    {
    "data":
    [
    6
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.modelled_water_bodies_band_1":
    [
    {
    "data":
    [
    8
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.partnerCountries_extent_encoded_band_1":
    [
    {
    "data":
    [
    3
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ],
  - "suitability_hytruck_zarr.spatial_ref":
    [
    {
    "data":
    [
    0
    ],
    "depth": 0,
    "shape":
    {
    "count": 1
    }
    }
    ]
  },
- "zoneId": "000102062"
}

Users can query data at a finer refinement level using the zone-depth parameters relative to the refinement level of the zone_id

zone_id = '000102062'
# The actual refinement level for the query is at level 9, zone_id refinement level + zone-depth
zone_depth = "2" 
query_return = requests.get(dggs_api_root+f'/dggs/igeo7/zones/{zone_id}/data', params={'zone-depth': zone_depth})

if (query_return.status_code != 204):
    query_return = query_return.json()
    display(JSON(query_return))
else:
    print("empty return")

"root":
{
- "depths":
  [
  - 2
  ],
- "dggrs": "https://agile-giss.copernicus.org/articles/6/32/2025/",
- "dimensions": null,
- "properties":
  {
  - "suitability_hytruck.modelled_corridor_points":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_fuel_stations":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_gas_pipelines":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_hydrogen_pipelines":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_powerlines":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_residential_areas":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_rest_areas":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_seashore":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_slope":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_solar_wind":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_transport_nodes":
    {
    "type": "UInt8"
    },
  - "suitability_hytruck.modelled_urban_nodes":
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    ],
  - "suitability_hytruck_parquet_local.modelled_fuel_stations_band_1":
    [
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  - "suitability_hytruck_parquet_local.modelled_gas_pipelines_band_1":
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  - "suitability_hytruck_parquet_local.modelled_hydrogen_pipelines_band_1":
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  - "suitability_hytruck_parquet_local.modelled_industrial_areas_band_1":
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    ],
  - "suitability_hytruck_parquet_local.modelled_powerlines_band_1":
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  - "suitability_hytruck_parquet_local.modelled_residential_areas_band_1":
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  - "suitability_hytruck_parquet_local.modelled_rest_areas_band_1":
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  - "suitability_hytruck_parquet_local.modelled_riverlines_band_1":
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  - "suitability_hytruck_parquet_local.modelled_seashore_band_1":
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    ],
  - "suitability_hytruck_parquet_local.modelled_slope_band_1":
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  - "suitability_hytruck_parquet_local.modelled_solar_wind_band_1":
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  - "suitability_hytruck_parquet_local.modelled_transport_nodes_band_1":
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  - "suitability_hytruck_parquet_local.modelled_urban_nodes_band_1":
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  - "suitability_hytruck_parquet_local.modelled_water_bodies_band_1":
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  - "suitability_hytruck_parquet_local.partnerCountries_extent_encoded_band_1":
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  - "suitability_hytruck_parquet_local.survey_suitability_value":
    [
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  },
- "zoneId": "000102062"
}

Users can also retrieve data with 2 consecutive refinement levels

zone_id = '0001020'
# 2 consecutive refinement levels (5, 6)
zone_depth = "0-1"
return_type = 'geojson'
query_return = requests.get(dggs_api_root+f'/dggs/igeo7/zones/{zone_id}/data', params={'zone-depth': zone_depth, 'f': return_type})

if (query_return.status_code != 204):
    query_return = query_return.json()
    display(JSON(query_return))
else:
    print("empty return")

"root":
{
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    "type": "Polygon"
    },
    "id": 0,
    "properties":
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    "suitability_hytruck.modelled_hydrogen_pipelines": 4,
    "suitability_hytruck.modelled_powerlines": 4,
    "suitability_hytruck.modelled_residential_areas": 6,
    "suitability_hytruck.modelled_rest_areas": 2,
    "suitability_hytruck.modelled_seashore": 2,
    "suitability_hytruck.modelled_slope": 10,
    "suitability_hytruck.modelled_solar_wind": 0,
    "suitability_hytruck.modelled_transport_nodes": 4,
    "suitability_hytruck.modelled_urban_nodes": 2,
    "suitability_hytruck.modelled_water_bodies": 4,
    "suitability_hytruck_parquet_local.ahp_suitability_value": 2.6516587677725125,
    "suitability_hytruck_parquet_local.binary_natura2000_band_1": 1,
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    "suitability_hytruck_parquet_local.binary_serviceareas_band_1": 0,
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    "suitability_hytruck_zarr.modelled_transport_nodes_band_1": 4,
    "suitability_hytruck_zarr.modelled_urban_nodes_band_1": 2,
    "suitability_hytruck_zarr.modelled_water_bodies_band_1": 10,
    "suitability_hytruck_zarr.partnerCountries_extent_encoded_band_1": 3,
    "suitability_hytruck_zarr.spatial_ref": 0,
    "zoneId": "0001020"
    },
    "type": "Feature"
    }
  ],
- "type": "FeatureCollection"
}

Collections endpoints

List all collections (`<dggs_api_root>/collections`)

query_return = requests.get(dggs_api_root+f'/collections')
query_return = query_return.json()
JSON(query_return)

"root":
{
- "collections":
  [
  - {
    "collection_provider":
    {
    "datasource_id": "hytruck_clickhouse",
    "dggrsId": "igeo7",
    "dggrs_zoneid_repr": "textual",
    "max_refinement_level": 9,
    "min_refinement_level": 5,
    "providerId": "clickhouse"
    },
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "description": "Desc",
    "extent":
    {
    "spatial":
    {
    "bbox":
    [
    [
    5.86307954788208,
    47.31793212890625,
    31.61196517944336,
    70.0753173828125
    ]
    ],
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "grid": "",
    "storageCrsBbox": null
    },
    "temporal": null
    },
    "id": "suitability_hytruck",
    "itemType": "",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    },
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS list",
    "type": "application/json"
    }
    ],
    "maxScaleDenominator": 222006344,
    "minScaleDenominator": 4530737,
    "storageCrs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "title": "Suitability Modelling for Hytruck"
    },
  - {
    "collection_provider":
    {
    "datasource_id": "zarr_hytruck",
    "dggrsId": "igeo7",
    "dggrs_zoneid_repr": "textual",
    "max_refinement_level": 8,
    "min_refinement_level": 5,
    "providerId": "zarr"
    },
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "description": "Desc",
    "id": "suitability_hytruck_zarr",
    "itemType": "",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_zarr",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    },
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_zarr/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS list",
    "type": "application/json"
    }
    ],
    "maxScaleDenominator": 222006344,
    "minScaleDenominator": 11987203,
    "storageCrs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "title": "Suitability Modelling for Hytruck in Zarr format"
    },
  - {
    "collection_provider":
    {
    "datasource_id": "hytruck_local",
    "dggrsId": "igeo7",
    "dggrs_zoneid_repr": "textual",
    "max_refinement_level": 9,
    "min_refinement_level": 4,
    "providerId": "parquet"
    },
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "description": "Desc",
    "extent":
    {
    "spatial":
    {
    "bbox":
    [
    [
    5.86307954788208,
    47.31793212890625,
    31.61196517944336,
    70.0753173828125
    ]
    ],
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "grid": "",
    "storageCrsBbox": null
    },
    "temporal": null
    },
    "id": "suitability_hytruck_parquet_local",
    "itemType": "",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_parquet_local",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    },
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_parquet_local/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS list",
    "type": "application/json"
    }
    ],
    "maxScaleDenominator": 587377071,
    "minScaleDenominator": 4530737,
    "storageCrs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "title": "Suitability Modelling for Hytruck in parquet format"
    },
  - {
    "collection_provider":
    {
    "datasource_id": "crim_testing",
    "dggrsId": "igeo7",
    "dggrs_zoneid_repr": "textual",
    "max_refinement_level": 5,
    "min_refinement_level": 5,
    "providerId": "parquet"
    },
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "description": "Desc",
    "id": "crim_testing",
    "itemType": "",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/crim_testing",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    },
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/crim_testing/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS list",
    "type": "application/json"
    }
    ],
    "maxScaleDenominator": 222006344,
    "minScaleDenominator": 222006344,
    "storageCrs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "title": "crim multi parquet files testing"
    },
  - {
    "collection_provider":
    {
    "datasource_id": "rcm_2080248_HV_reproject_2022-05_05",
    "dggrsId": "h3",
    "dggrs_zoneid_repr": "textual",
    "max_refinement_level": 12,
    "min_refinement_level": 7,
    "providerId": "parquet"
    },
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "description": "Desc",
    "id": "rcm_h3",
    "itemType": "",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/rcm_h3",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    },
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/rcm_h3/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS list",
    "type": "application/json"
    }
    ],
    "maxScaleDenominator": 5023127,
    "minScaleDenominator": 38679,
    "storageCrs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "title": "rcm_h3"
    },
  - {
    "collection_provider":
    {
    "datasource_id": "dggal_ivea7h_hytruck",
    "dggrsId": "ivea7h",
    "dggrs_zoneid_repr": "int",
    "max_refinement_level": 8,
    "min_refinement_level": 5,
    "providerId": "zarr"
    },
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "description": "Desc",
    "id": "dggal_ivea7h_hytruck",
    "itemType": "",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/dggal_ivea7h_hytruck",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    },
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/dggal_ivea7h_hytruck/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS list",
    "type": "application/json"
    }
    ],
    "maxScaleDenominator": 196746634077,
    "minScaleDenominator": 10623382718,
    "storageCrs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "title": "rcm_h3"
    },
  - {
    "collection_provider":
    {
    "datasource_id": "dggal_rhealpix_hytruck",
    "dggrsId": "rhealpix",
    "dggrs_zoneid_repr": "int",
    "max_refinement_level": 7,
    "min_refinement_level": 5,
    "providerId": "zarr"
    },
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "description": "Desc",
    "id": "dggal_rhealpix_hytruck",
    "itemType": "",
    "links":
    [
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/dggal_rhealpix_hytruck",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    },
    {
    "href": "http://127.0.0.1:8000/dggs-api/collections/dggal_rhealpix_hytruck/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS list",
    "type": "application/json"
    }
    ],
    "maxScaleDenominator": 135510546411,
    "minScaleDenominator": 15056727379,
    "storageCrs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "title": "rcm_h3"
    }
  ],
- "links":
  [
  - {
    "href": "http://127.0.0.1:8000/dggs-api/collections",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    }
  ],
- "timeStamp": null
}

Query the collection meta data (`<dggs_api_root>/collections/<collection_id>`)

collection_id = "suitability_hytruck_parquet_local"
query_return = requests.get(dggs_api_root+f'/collections/{collection_id}')
query_return = query_return.json()
JSON(query_return)

"root":
{
- "collection_provider":
  {
  - "datasource_id": "hytruck_local",
  - "dggrsId": "igeo7",
  - "dggrs_zoneid_repr": "textual",
  - "max_refinement_level": 9,
  - "min_refinement_level": 4,
  - "providerId": "parquet"
  },
- "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
- "description": "Desc",
- "extent":
  {
  - "spatial":
    {
    "bbox":
    [
    [
    5.86307954788208,
    47.31793212890625,
    31.61196517944336,
    70.0753173828125
    ]
    ],
    "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
    "grid": "",
    "storageCrsBbox": null
    },
  - "temporal": null
  },
- "id": "suitability_hytruck_parquet_local",
- "itemType": "",
- "links":
  [
  - {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_parquet_local",
    "hreflang": null,
    "length": null,
    "rel": "self",
    "title": "this document",
    "type": "application/json"
    },
  - {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_parquet_local/dggs",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:dggrs-list]",
    "title": "DGGS list",
    "type": "application/json"
    },
  - {
    "href": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_parquet_local/collections/suitability_hytruck_parquet_local/queryables",
    "hreflang": null,
    "length": null,
    "rel": "[ogc-rel:queryables]",
    "title": "Queryable properties from the collection.",
    "type": "application/schema+json"
    }
  ],
- "maxScaleDenominator": 587377071,
- "minScaleDenominator": 4530737,
- "storageCrs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84",
- "title": "Suitability Modelling for Hytruck in parquet format"
}

Query the attributes of the collection(`<dggs_api_root>/collections/<collection_id>/queryables`)

collection_id = "suitability_hytruck_parquet_local"
query_return = requests.get(dggs_api_root+f'/collections/{collection_id}/queryables')
query_return = query_return.json()
JSON(query_return)

"root":
{
- "$id": "http://127.0.0.1:8000/dggs-api/collections/suitability_hytruck_parquet_local/queryables",
- "$schema": "https://json-schema.org/draft/2020-12/schema",
- "properties":
  {
  - "suitability_hytruck_parquet_local.ahp_suitability_value":
    {
    "format": "float64",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_natura2000_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_seashore_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.binary_serviceareas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.cell_ids":
    {
    "type": "string"
    },
  - "suitability_hytruck_parquet_local.modelled_corridor_points_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_fuel_stations_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_gas_pipelines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_hydrogen_pipelines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_industrial_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_powerlines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_powerplants_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_residential_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_rest_areas_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_riverlines_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_seashore_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_slope_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_solar_wind_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_transport_nodes_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_urban_nodes_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.modelled_water_bodies_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.partnerCountries_extent_encoded_band_1":
    {
    "format": "float32",
    "type": "number"
    },
  - "suitability_hytruck_parquet_local.survey_suitability_value":
    {
    "format": "float64",
    "type": "number"
    }
  },
- "type": "object"
}

Tiles API endpoints

Query the collection tiles json (`<api-root>/tiles-api/<collection_id>.json`)

collection_id = "suitability_hytruck_parquet_local"
query_return = requests.get(api_root+f'/tiles-api/{collection_id}.json')
query_return = query_return.json()
JSON(query_return)

"root":
{
- "bounds":
  [
  - 5.86307954788208,
  - 47.31793212890625,
  - 31.61196517944336,
  - 70.0753173828125
  ],
- "description": "Desc",
- "name": "suitability_hytruck_parquet_local",
- "tilejson": "3.0.0",
- "tiles":
  [
  - "http://127.0.0.1:8000/tiles-api/suitability_hytruck_parquet_local/{z}/{x}/{y}"
  ],
- "vector_layers":
  [
  - {
    "fields":
    {
    "ahp_suitability_value": "float64",
    "binary_natura2000_band_1": "float32",
    "binary_seashore_band_1": "float32",
    "binary_serviceareas_band_1": "float32",
    "cell_ids": "string",
    "modelled_corridor_points_band_1": "float32",
    "modelled_fuel_stations_band_1": "float32",
    "modelled_gas_pipelines_band_1": "float32",
    "modelled_hydrogen_pipelines_band_1": "float32",
    "modelled_industrial_areas_band_1": "float32",
    "modelled_powerlines_band_1": "float32",
    "modelled_powerplants_band_1": "float32",
    "modelled_residential_areas_band_1": "float32",
    "modelled_rest_areas_band_1": "float32",
    "modelled_riverlines_band_1": "float32",
    "modelled_seashore_band_1": "float32",
    "modelled_slope_band_1": "float32",
    "modelled_solar_wind_band_1": "float32",
    "modelled_transport_nodes_band_1": "float32",
    "modelled_urban_nodes_band_1": "float32",
    "modelled_water_bodies_band_1": "float32",
    "partnerCountries_extent_encoded_band_1": "float32",
    "survey_suitability_value": "float64"
    },
    "id": "suitability_hytruck_parquet_local"
    }
  ]
}

Query data with the tiles source url (`<api-root>/tiles-api/<collection_id>/{z}/{x}/{y}`)

The endpoint supports the relative_depth query parameter which allow users to retrieve data at a finer refinement level.

Here is the example of the url: <api-root>/tiles-api/<collection_id>/{z}/{x}/{y}?relative_depth=1

Examples on using pydggapi endpoints

Setup

DGGS API endpoints

DGGS API Core conformance class

landing page (`<dggs_api_root>/`)

Query supported dggrs (`<dggs_api_root>/dggs`)

Query dggrs definition (`<dggs_api_root>/dggs/<dggrs_id>`)

Query zone info (`<dggs_api_root>/dggs/<dggrs_id>/zones/<zone_id>`)

DGGS API Zone Query conformance class

Zone Query (`<dggs_api_root>/dggs/<dggrs_id>/zones`)

`bbox`: Return a list of zones that is contains in the specified bounding box at refinement level 6

`parent-zone`: Return a list of zones at refinement level 6 with a parnet zone at refinement level 5

`&f=geojson`: Change the return type to geojson

`geometry`: Change the return type to geojson and return zone centroid instead of zone region

`filter`: Using CQL2 string to filter records for all collections

`datetime`: filter collections with datetime interval

DGGS API Zone data retrieval conformance class

Zone data retrieval (`<dggs_api_root>/dggs/<dggrs_id>/zones/<zone_id>/data`)

`zone-depth`: Return the data associated with the `zone_id` at the `zone_id`’s refinement level in DGGS-JSON format

Collections endpoints

List all collections (`<dggs_api_root>/collections`)

Query the collection meta data (`<dggs_api_root>/collections/<collection_id>`)

Query the attributes of the collection(`<dggs_api_root>/collections/<collection_id>/queryables`)

Tiles API endpoints

Query the collection tiles json (`<api-root>/tiles-api/<collection_id>.json`)

Query data with the tiles source url (`<api-root>/tiles-api/<collection_id>/{z}/{x}/{y}`)

Examples on using pydggapi endpoints

Setup

DGGS API endpoints

DGGS API Core conformance class

landing page (<dggs_api_root>/)

Query supported dggrs (<dggs_api_root>/dggs)

Query dggrs definition (<dggs_api_root>/dggs/<dggrs_id>)

Query zone info (<dggs_api_root>/dggs/<dggrs_id>/zones/<zone_id>)

DGGS API Zone Query conformance class

Zone Query (<dggs_api_root>/dggs/<dggrs_id>/zones)

bbox: Return a list of zones that is contains in the specified bounding box at refinement level 6

parent-zone: Return a list of zones at refinement level 6 with a parnet zone at refinement level 5

&f=geojson: Change the return type to geojson

geometry: Change the return type to geojson and return zone centroid instead of zone region

filter: Using CQL2 string to filter records for all collections

datetime: filter collections with datetime interval

DGGS API Zone data retrieval conformance class

Zone data retrieval (<dggs_api_root>/dggs/<dggrs_id>/zones/<zone_id>/data)

zone-depth: Return the data associated with the zone_id at the zone_id’s refinement level in DGGS-JSON format

Collections endpoints

List all collections (<dggs_api_root>/collections)

Query the collection meta data (<dggs_api_root>/collections/<collection_id>)

Query the attributes of the collection(<dggs_api_root>/collections/<collection_id>/queryables)

Tiles API endpoints

Query the collection tiles json (<api-root>/tiles-api/<collection_id>.json)

Query data with the tiles source url (<api-root>/tiles-api/<collection_id>/{z}/{x}/{y})

landing page (`<dggs_api_root>/`)

Query supported dggrs (`<dggs_api_root>/dggs`)

Query dggrs definition (`<dggs_api_root>/dggs/<dggrs_id>`)

Query zone info (`<dggs_api_root>/dggs/<dggrs_id>/zones/<zone_id>`)

Zone Query (`<dggs_api_root>/dggs/<dggrs_id>/zones`)

`bbox`: Return a list of zones that is contains in the specified bounding box at refinement level 6

`parent-zone`: Return a list of zones at refinement level 6 with a parnet zone at refinement level 5

`&f=geojson`: Change the return type to geojson

`geometry`: Change the return type to geojson and return zone centroid instead of zone region

`filter`: Using CQL2 string to filter records for all collections

`datetime`: filter collections with datetime interval

Zone data retrieval (`<dggs_api_root>/dggs/<dggrs_id>/zones/<zone_id>/data`)

`zone-depth`: Return the data associated with the `zone_id` at the `zone_id`’s refinement level in DGGS-JSON format

List all collections (`<dggs_api_root>/collections`)

Query the collection meta data (`<dggs_api_root>/collections/<collection_id>`)

Query the attributes of the collection(`<dggs_api_root>/collections/<collection_id>/queryables`)

Query the collection tiles json (`<api-root>/tiles-api/<collection_id>.json`)

Query data with the tiles source url (`<api-root>/tiles-api/<collection_id>/{z}/{x}/{y}`)