Secteurs d'intervention des unités de la Direction de la Voirie en charge de la propreté des voies publiques de Rennes
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).
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (5 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid point of the sector, as latitude and longitude.Geographic centroid point of the sector, as latitude and longitude. |
| geo_shapeShape | geo_shape | Polygon geometry defining the boundary of the intervention sector.Polygon geometry defining the boundary of the intervention sector. |
| gml_idGml id | text | Unique GML identifier of the geographic feature.Unique GML identifier of the geographic feature. |
| code_secteurCode secteur | text | Code identifying the street cleaning intervention sector.Code identifying the street cleaning intervention sector. |
| num_equipeNum equipe | int | Number 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,
48.12244519246146
],
[
-1.668935501660565,
48.12295143841044
],
[
-1.668114820636209,
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],
[
-1.667223151406962,
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],
[
-1.667118545203136,
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],
[
-1.664953095545846,
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],
[
-1.664392055669539,
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],
[
-1.663401893109961,
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],
[
-1.662895169291729,
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],
[
-1.662814218248541,
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],
[
-1.662613184692852,
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],
[
-1.661770566341602,
48.12246388557448
],
[
-1.6600264026486,
48.123444933240776
],
[
-1.659680944705413,
48.123224684162
],
[
-1.655785308871388,
48.12156432560183
],
[
-1.654766848056727,
48.12107184666969
],
[
-1.656442001283609,
48.120542714415166
],
[
-1.656921300282519,
48.12015663474598
],
[
-1.66030686123287,
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],
[
-1.66266689281044,
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],
[
-1.662817137779956,
48.12159179490691
],
[
-1.663730295816454,
48.12111993606378
],
[
-1.662576453808128,
48.120635117369915
],
[
-1.662693528937017,
48.12048069576887
],
[
-1.664049843020005,
48.12098826930034
],
[
-1.666300246417888,
48.119663449166794
],
[
-1.667302006626489,
48.119276995080725
],
[
-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": [
[
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],
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[
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],
[
-1.681649972780169,
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],
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],
[
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],
[
-1.687643853244653,
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],
[
-1.68795197600841,
48.09819486316834
],
[
-1.686391583805966,
48.09982990960485
],
[
-1.686439194621851,
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],
[
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],
[
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],
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],
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],
[
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],
[
-1.684212547629218,
48.1016802353784
],
[
-1.676767808245805,
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],
[
-1.676802634291385,
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],
[
-1.67665070968849,
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],
[
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],
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],
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],
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-1.675168040035709,
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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": [
[
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],
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],
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],
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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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-1.686858386714646,
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],
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-1.687861108686899,
48.11425525000339
],
[
-1.687832378696976,
48.114720992581454
],
[
-1.685813328820854,
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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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]
]
]
},
"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.
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Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
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