PLUi de Rennes Métropole : plan thématique des règles du coefficient de végétalisation
Ces secteurs identifient le coefficient de végétalisation devant être appliqué au terrain pour renforcer la part de surfaces éco-aménagées par rapport à la surface totale du terrain. Ce coefficient de végétalisation s'applique sur le territoire tel qu'il est identifié au titre du Plan Local d'Urb...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (12 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | gml_idGml id | text | — |
| — | uid | int | — |
| — | semio_categorieSemio categorie | text | — |
| — | semio_typeSemio type | text | — |
| — | semio | text | — |
| — | etiquette_angleEtiquette angle | int | — |
| — | surf_min_ecoamenageeSurf min ecoamenagee | text | — |
| — | bonus | text | — |
| 7.1% | surf_min_pleine_terreSurf min pleine terre | text | — |
| 62.3% | etiquette | text | — |
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 1uid: 1006 · bonus: —
{
"uid": 1006,
"bonus": null,
"semio": "autres_secteurs",
"gml_id": "plui_theme_coeffveget.1006",
"etiquette": "(d)",
"geo_shape": "[large value omitted]",
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.07059305820652,
"lon": -1.851514888524103
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": null,
"surf_min_pleine_terre": null
}Record 2uid: 1017 · bonus: —
{
"uid": 1017,
"bonus": null,
"semio": "autres_secteurs",
"gml_id": "plui_theme_coeffveget.1017",
"etiquette": "(d)",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-1.794050163015929,
48.10184602269518
],
[
-1.794210450752712,
48.10161063156526
],
[
-1.794249869439527,
48.10154819980719
],
[
-1.794504165164889,
48.101624329556365
],
[
-1.794457697531409,
48.10168411942887
],
[
-1.794439312333181,
48.101707775708725
],
[
-1.794395181552209,
48.10177287774835
],
[
-1.794381672039568,
48.101793987647206
],
[
-1.794363930325062,
48.10182167229423
],
[
-1.794244525790483,
48.101784748307466
],
[
-1.794213786465101,
48.10183036739657
],
[
-1.79417714721404,
48.10188488367029
],
[
-1.794050163015929,
48.10184602269518
]
]
]
},
"properties": {}
},
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.10171141087926,
"lon": -1.794275487957989
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": null,
"surf_min_pleine_terre": null
}Record 3uid: 1019 · bonus: —
{
"uid": 1019,
"bonus": null,
"semio": "autres_secteurs",
"gml_id": "plui_theme_coeffveget.1019",
"etiquette": "(d)",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-1.792718149415145,
48.095068162631506
],
[
-1.792257504793217,
48.095222651911534
],
[
-1.792054157264699,
48.09529084908275
],
[
-1.791903407144019,
48.09490072389828
],
[
-1.79189710107326,
48.094879295893506
],
[
-1.79156123027109,
48.09493494986914
],
[
-1.791441692447853,
48.094797530135516
],
[
-1.79172386681724,
48.09443765954745
],
[
-1.791747193171221,
48.09440791033591
],
[
-1.791996129672288,
48.09409042555014
],
[
-1.792007074071168,
48.094076467168634
],
[
-1.792016208517239,
48.09406481822352
],
[
-1.792037928869969,
48.094037115744094
],
[
-1.792059627581496,
48.094009441196555
],
[
-1.792062724534428,
48.094005492057036
],
[
-1.792063218893673,
48.09400486226138
],
[
-1.792354496021188,
48.09363337000828
],
[
-1.792401863975123,
48.09357295649044
],
[
-1.79242649305933,
48.09360529138993
],
[
-1.792465507902018,
48.093656511327566
],
[
-1.792607405821228,
48.09379523884185
],
[
-1.792864608327869,
48.094046691871185
],
[
-1.792907355019339,
48.0940884822239
],
[
-1.793384007146658,
48.094554470763
],
[
-1.793470896465622,
48.09456285772551
],
[
-1.793511090875184,
48.09456673705702
],
[
-1.793682008902123,
48.094557794651784
],
[
-1.793746504671461,
48.094621486928695
],
[
-1.793791283765954,
48.094665708272906
],
[
-1.793749136459082,
48.094683357217626
],
[
-1.792718149415145,
48.095068162631506
]
]
]
},
"properties": {}
},
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.09453453939799,
"lon": -1.7924862227908902
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": null,
"surf_min_pleine_terre": null
}Record 4uid: 1022 · bonus: —
{
"uid": 1022,
"bonus": null,
"semio": "autres_secteurs",
"gml_id": "plui_theme_coeffveget.1022",
"etiquette": "(d)",
"geo_shape": "[large value omitted]",
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.07644570224808,
"lon": -1.8413133870675207
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": null,
"surf_min_pleine_terre": null
}Record 5uid: 1045 · bonus: —
{
"uid": 1045,
"bonus": null,
"semio": "autres_secteurs",
"gml_id": "plui_theme_coeffveget.1045",
"etiquette": "(d)",
"geo_shape": "[large value omitted]",
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.082465661195734,
"lon": -1.7731870081054633
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": null,
"surf_min_pleine_terre": null
}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/plui-de-rennes-metropole-plan-thematique-des-regles-du-coefficient-de-vegetalisa
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/plui-de-rennes-metropole-plan-thematique-des-regles-du-coefficient-de-vegetalisa/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.