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S

Secteurs d'intervention des unités de la Direction de la Voirie en charge de la propreté des voies publiques de Rennes

APIExecutable4/7Query nowOpen workbenchSubscribe🇫🇷France

Cette couche de polygones permet de connaître les secteurs d'intervention des équipes de la Direction de la Voirie Propreté et Fêtes chargées de la propreté des voies publiques. Chaque unité est rattachée à une équipe (voir métadonnées UUID = 76317e99-3d65-454a-a197-ecd95a5bc2ca).

54
fair

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

Data schema (5 fields)

Filterable via the API (3)
gml_idcode_secteurnum_equipe

Click a field to see example values.

FieldTypeDescription
geo_point_2dGeo Pointgeo_point_2dGeographic centroid point of the sector, as latitude and longitude.Geographic centroid point of the sector, as latitude and longitude.
geo_shapeShapegeo_shapePolygon geometry defining the boundary of the intervention sector.Polygon geometry defining the boundary of the intervention sector.
gml_idFilterable via the APIGml idtextUnique GML identifier of the geographic feature.Unique GML identifier of the geographic feature.
code_secteurFilterable via the APICode secteurtextCode identifying the street cleaning intervention sector.Code identifying the street cleaning intervention sector.
num_equipeFilterable via the APINum equipeintNumber identifying the team assigned to the sector.Number identifying the team assigned to the sector.

Schema captured from opendatasoft 6 days 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 1gml_id: v_prop_event_secteur.71 · geo_shape: [large value omitted]
{
  "gml_id": "v_prop_event_secteur.71",
  "geo_shape": "[large value omitted]",
  "num_equipe": 7,
  "code_secteur": "71",
  "geo_point_2d": {
    "lat": 48.08613579480031,
    "lon": -1.648769222708163
  }
}
Record 2gml_id: v_prop_event_secteur.21 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
  "gml_id": "v_prop_event_secteur.21",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -1.667416694318135,
              48.11929637026746
            ],
            [
              -1.667485428358319,
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            ],
            [
              -1.669434382882732,
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            ],
            [
              -1.668935501660565,
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            ],
            [
              -1.668114820636209,
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            ],
            [
              -1.667223151406962,
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            ],
            [
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            ],
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            ],
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            ],
            [
              -1.663401893109961,
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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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            ],
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              -1.655785308871388,
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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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            ],
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            ],
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            ],
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            ],
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            ],
            [
              -1.667416694318135,
              48.11929637026746
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "num_equipe": 2,
  "code_secteur": "21",
  "geo_point_2d": {
    "lat": 48.12171778139621,
    "lon": -1.663031681198029
  }
}
Record 3gml_id: v_prop_event_secteur.44 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
  "gml_id": "v_prop_event_secteur.44",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -1.675168040035709,
              48.097449536003886
            ],
            [
              -1.67970644304284,
              48.09686549688609
            ],
            [
              -1.681437199463463,
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            ],
            [
              -1.681649972780169,
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            ],
            [
              -1.6836572188152,
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            ],
            [
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            ],
            [
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            ],
            [
              -1.687643853244653,
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            ],
            [
              -1.68795197600841,
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            ],
            [
              -1.686391583805966,
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            ],
            [
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            ],
            [
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            ],
            [
              -1.684664520581975,
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            ],
            [
              -1.684353475269438,
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            ],
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            ],
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              -1.684074980693146,
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            ],
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            ],
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            ],
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            ],
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            ],
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            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "num_equipe": 4,
  "code_secteur": "44",
  "geo_point_2d": {
    "lat": 48.099508127339845,
    "lon": -1.6808603603098475
  }
}
Record 4gml_id: v_prop_event_secteur.09 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
  "gml_id": "v_prop_event_secteur.09",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -1.680839534223392,
              48.117144857792695
            ],
            [
              -1.680879077236275,
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            ],
            [
              -1.680835644458112,
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            ],
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              -1.683347150180635,
              48.11446932697411
            ],
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              -1.685396154182677,
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            ],
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            ],
            [
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            ],
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            ],
            [
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            ],
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              -1.685420487955745,
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            ],
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              -1.686048987233643,
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            ],
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              -1.686147754468285,
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            ],
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            ],
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            ],
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            ],
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              -1.683098617800005,
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            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "num_equipe": 0,
  "code_secteur": "09",
  "geo_point_2d": {
    "lat": 48.11518775677215,
    "lon": -1.6846632948174536
  }
}
Record 5gml_id: v_prop_event_secteur.43 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
  "gml_id": "v_prop_event_secteur.43",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
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            ],
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              -1.682141018292529,
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            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "num_equipe": 4,
  "code_secteur": "43",
  "geo_point_2d": {
    "lat": 48.092760932545296,
    "lon": -1.679849260247346
  }
}

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

Verification Status

Using the API

Configuration

Base URL
https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/secteur_intervention_unite_dvpf

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/secteur_intervention_unite_dvpf/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.

Full API documentation ↗

Rate limits

7 000 req/day
per ipmeasured
observed 6 days ago

Dataset

Volume & freshness

Records
71
Last upstream update
7 days ago
2026-09-01

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Secteurs d'intervention des unités de la Direction de la Voirie en charge de la propreté des voies publiques de Rennes — live verification badge

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