Intervention areas of the Rennes Roads Department teams responsible for public street cleanlinessPérimètres d'intervention des équipes de la Direction de la Voirie en charge de la propreté des voies publiques de Rennes
Périmètres d'intervention des équipes de la Direction de la Voirie en charge de la propreté des voies publiques de RennesIntervention areas of the Rennes Roads Department teams responsible for public street cleanliness
This dataset provides a polygon layer dividing the municipal territory of the City of Rennes among the teams of the Direction de la Voirie, Propreté et Fêtes (Roads, Cleanliness and Festivities Department) responsible for cleaning public streets. It is published by Rennes Métropole and is useful for identifying which team is in charge of street cleanliness operations in a given area of the city.Cette couche de polygones répartit le territoire communal de la Ville de Rennes entre les équipes de la Direction de la Voirie Propreté et Fêtes chargées de la propreté des voies publiques.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic center point (latitude/longitude) of the team's area.Geographic center point (latitude/longitude) of the team's area. |
| geo_shapeShape | geo_shape | Polygon geometry defining the team's intervention area boundary.Polygon geometry defining the team's intervention area boundary. |
| gml_idGml id | text | Unique GML identifier for the geometry feature.Unique GML identifier for the geometry feature. |
| id_equipeId equipe | int | Internal identifier of the cleaning team.Internal identifier of the cleaning team. |
| num_equipeNum equipe | int | Numeric code assigned to the cleaning team.Numeric code assigned to the cleaning team. |
| nom_equipeNom equipe | text | Name of the district or area served by the team.Name of the district or area served by the team. |
| mini_balayeuseMini balayeuse | text | Identifier of the small street-sweeping vehicle assigned to the team.Identifier of the small street-sweeping vehicle assigned to the team. |
Schema captured from opendatasoft 3 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)
These rows are ODbL-1.0: share-alike. Reusing them obliges you to license any derived database on the same terms.
Record 1gml_id: prop_event_equipe.fid--2fb12420_1a15d71c · geo_shape: [large value omitted]
{
"gml_id": "prop_event_equipe.fid--2fb12420_1a15d71c9a5_3d89",
"geo_shape": "[large value omitted]",
"id_equipe": 3,
"nom_equipe": "Le Blosne",
"num_equipe": 7,
"geo_point_2d": {
"lat": 48.08519738927337,
"lon": -1.6638790811181556
},
"mini_balayeuse": "Basp 30"
}Record 2gml_id: prop_event_equipe.fid--2fb12420_1a15d71c · geo_shape: [large value omitted]
{
"gml_id": "prop_event_equipe.fid--2fb12420_1a15d71c9a5_3d90",
"geo_shape": "[large value omitted]",
"id_equipe": 4,
"nom_equipe": "Jeanne-d'Arc - Longchamps",
"num_equipe": 2,
"geo_point_2d": {
"lat": 48.12087340146604,
"lon": -1.6475817641930701
},
"mini_balayeuse": "Basp 24"
}Record 3gml_id: prop_event_equipe.fid--2fb12420_1a15d71c · geo_shape: [large value omitted]
{
"gml_id": "prop_event_equipe.fid--2fb12420_1a15d71c9a5_3dd1",
"geo_shape": "[large value omitted]",
"id_equipe": 7,
"nom_equipe": "Maurepas",
"num_equipe": 1,
"geo_point_2d": {
"lat": 48.13383142117177,
"lon": -1.6608637645964486
},
"mini_balayeuse": "Basp 27"
}Record 4gml_id: prop_event_equipe.fid--2fb12420_1a15d71c · geo_shape: [large value omitted]
{
"gml_id": "prop_event_equipe.fid--2fb12420_1a15d71c9a5_3d97",
"geo_shape": "[large value omitted]",
"id_equipe": 5,
"nom_equipe": "Sud Gare - Bréquigny",
"num_equipe": 4,
"geo_point_2d": {
"lat": 48.092390307482496,
"lon": -1.681830091604295
},
"mini_balayeuse": "Basp 28"
}Record 5gml_id: prop_event_equipe.fid--2fb12420_1a15d71c · geo_shape: [large value omitted]
{
"gml_id": "prop_event_equipe.fid--2fb12420_1a15d71c9a5_3de2",
"geo_shape": "[large value omitted]",
"id_equipe": 1,
"nom_equipe": "Villejean - La Touche - Beauregard",
"num_equipe": 6,
"geo_point_2d": {
"lat": 48.128393461679515,
"lon": -1.710485331172781
},
"mini_balayeuse": "Basp 25"
}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/perimetre_intervention_equipe_dvpf
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/perimetre_intervention_equipe_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.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.