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C

Contours géographiques très simplifiés des départements – 2019

APIQuery nowOpen workbench🇫🇷France

Ce jeu de données est une simplification des données géographiques transmise par l'IGN dans le produit ADMIN EXPRESS. Les contours géographiques des régions de la France Métropolitaine ont été simplifiés en gardant la typologie avec l'algorithme de Douglas (paramètre de tolérance fixé à 0.03) Le...

0
poor

Weighted across five axes. Tap a ring for what it measures.

Data schema (9 fields)

Filterable via the API (7)
idnom_depnom_dep_mininsee_depinsee_regregionregion_min

Click a field to see example values.

FieldTypeDescription
geo_point_2dCoordinatesgeo_point_2d
geo_shapeShapegeo_shape
idFilterable via the APItextID du département
nom_depFilterable via the APINom du départementtexten majuscules
nom_dep_minFilterable via the APINom du département minusculetexten minuscules
insee_depFilterable via the APICode INSEE DépartementtextCode INSEE du département
insee_regFilterable via the APICode INSEE RégionintCode INSEE de la région
regionFilterable via the APINom régiontext
region_minFilterable via the APIRegion mintext

Schema captured from opendatasoft 1 hour ago.

Query the data

Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.

=

Sample data (5 records)

Record 1id: DEP000000000000000000005 · region: GRAND EST
{
  "id": "DEP000000000000000000005",
  "region": "GRAND EST",
  "nom_dep": "HAUT-RHIN",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
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        ]
      ]
    },
    "properties": {}
  },
  "insee_dep": "68",
  "insee_reg": 44,
  "region_min": "Grand Est",
  "nom_dep_min": "Haut-Rhin",
  "geo_point_2d": {
    "lat": 47.8544215156,
    "lon": 7.27573030264
  }
}
Record 2id: DEP000000000000000000068 · region: BOURGOGNE-FRANCHE-COMTE
{
  "id": "DEP000000000000000000068",
  "region": "BOURGOGNE-FRANCHE-COMTE",
  "nom_dep": "COTE-D'OR",
  "geo_shape": "[large value omitted]",
  "insee_dep": "21",
  "insee_reg": 27,
  "region_min": "Bourgogne-Franche-Comté",
  "nom_dep_min": "Côte-d'Or",
  "geo_point_2d": {
    "lat": 47.4277320977,
    "lon": 4.7709068324
  }
}
Record 3id: DEP000000000000000000043 · region: PROVENCE-ALPES-COTE D'AZUR
{
  "id": "DEP000000000000000000043",
  "region": "PROVENCE-ALPES-COTE D'AZUR",
  "nom_dep": "HAUTES-ALPES",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
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    },
    "properties": {}
  },
  "insee_dep": "05",
  "insee_reg": 93,
  "region_min": "Provence-Alpes-Côte d'Azur",
  "nom_dep_min": "Hautes-Alpes",
  "geo_point_2d": {
    "lat": 44.6602695202,
    "lon": 6.26479998904
  }
}
Record 4id: DEP000000000000000000039 · region: NOUVELLE-AQUITAINE
{
  "id": "DEP000000000000000000039",
  "region": "NOUVELLE-AQUITAINE",
  "nom_dep": "CORREZE",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
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      ]
    },
    "properties": {}
  },
  "insee_dep": "19",
  "insee_reg": 75,
  "region_min": "Nouvelle-Aquitaine",
  "nom_dep_min": "Corrèze",
  "geo_point_2d": {
    "lat": 45.3569109959,
    "lon": 1.87657009296
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}
Record 5id: DEP000000000000000000085 · region: AUVERGNE-RHONE-ALPES
{
  "id": "DEP000000000000000000085",
  "region": "AUVERGNE-RHONE-ALPES",
  "nom_dep": "DROME",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
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      ]
    },
    "properties": {}
  },
  "insee_dep": "26",
  "insee_reg": 84,
  "region_min": "Auvergne-Rhône-Alpes",
  "nom_dep_min": "Drôme",
  "geo_point_2d": {
    "lat": 44.683884407,
    "lon": 5.16375567634
  }
}

Live sample captured at profiling time — values may have changed upstream.

Using the API

Configuration

Base URL
https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/contours-geographiques-tres-simplifies-des-departements-2019

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/contours-geographiques-tres-simplifies-des-departements-2019/records?limit=20' -H 'Accept: application/json'

First 20 records of the dataset as JSON.

Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.

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10 000 000 req/day
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observed 1 hour ago

Dataset

Volume & freshness

Records
101
Last upstream update
6 years ago
2020-07-15

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Contours géographiques très simplifiés des départements – 2019 — live verification badge

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.