Rennes Métropole Local Urban Plan: thematic map of greening coefficient rulesPLUi de Rennes Métropole : plan thématique des règles du coefficient de végétalisation
PLUi de Rennes Métropole : plan thématique des règles du coefficient de végétalisationRennes Métropole Local Urban Plan: thematic map of greening coefficient rules
This dataset is part of the Local Urban Plan (PLUi) of Rennes Métropole in France. It maps sectors where a specific greening coefficient (coefficient de végétalisation) must be applied to land plots, in order to increase the share of eco-developed surfaces relative to total plot area. The coefficient applies within the territory defined under the metropolitan Local Urban Plan. It is maintained by Rennes Métropole and is useful for urban planning, construction permitting, and assessing green-space requirements on development projects within the metropolitan area.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 | Geographic centroid coordinates of the zone.Geographic centroid coordinates of the zone. |
| — | geo_shapeShape | geo_shape | Geometric outline of the zone as a geographic shape.Geometric outline of the zone as a geographic shape. |
| — | gml_idGml id | text | Unique GML identifier for the geographic feature.Unique GML identifier for the geographic feature. |
| — | uid | int | Internal unique numeric identifier for the record.Internal unique numeric identifier for the record. |
| — | semio_categorieSemio categorie | text | Symbology category used for map rendering of the feature.Symbology category used for map rendering of the feature. |
| — | semio_typeSemio type | text | Geometry type used for map symbology, e.g. polygon.Geometry type used for map symbology, e.g. polygon. |
| — | semio | text | Symbology code indicating the applicable vegetation coefficient value.Symbology code indicating the applicable vegetation coefficient value. |
| — | etiquette_angleEtiquette angle | int | Rotation angle in degrees for the map label.Rotation angle in degrees for the map label. |
| — | surf_min_ecoamenageeSurf min ecoamenagee | text | Minimum percentage of eco-landscaped surface required on the plot.Minimum percentage of eco-landscaped surface required on the plot. |
| — | bonus | text | Bonus category code applied to the vegetation coefficient rule.Bonus category code applied to the vegetation coefficient rule. |
| 7.1% | surf_min_pleine_terreSurf min pleine terre | text | Minimum percentage of natural ground surface required on the plot.Minimum percentage of natural ground surface required on the plot. |
| 62.3% | etiquette | text | Text label displayed on the map for the zone.Text label displayed on the map for the zone. |
Schema captured from opendatasoft 2 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 1uid: 2974 · bonus: —
{
"uid": 2974,
"bonus": null,
"semio": "theme_coeffveget",
"gml_id": "plui_theme_coeffveget.2974",
"etiquette": "V=30%\r\n(B)",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-1.75746577677233,
48.11988400737132
]
},
"properties": {}
},
"semio_type": "texte",
"geo_point_2d": {
"lat": 48.11988400737132,
"lon": -1.7574657767723296
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": null,
"surf_min_pleine_terre": null
}Record 2uid: 3933 · bonus: —
{
"uid": 3933,
"bonus": null,
"semio": "theme_coeffveget",
"gml_id": "plui_theme_coeffveget.3933",
"etiquette": "V=T1\r\n(B)",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-1.631674542720541,
48.213925021371374
]
},
"properties": {}
},
"semio_type": "texte",
"geo_point_2d": {
"lat": 48.213925021371374,
"lon": -1.6316745427205412
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": null,
"surf_min_pleine_terre": null
}Record 3uid: 347 · bonus: B
{
"uid": 347,
"bonus": "B",
"semio": "30",
"gml_id": "plui_theme_coeffveget.347",
"etiquette": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-1.847064544371103,
48.07529755913839
],
[
-1.846953205957044,
48.075269001895
],
[
-1.846940394999674,
48.07526575730475
],
[
-1.847060810614055,
48.07504880423328
],
[
-1.847182964530107,
48.07482889379283
],
[
-1.847188624842747,
48.074830457391066
],
[
-1.847197299362345,
48.07483261478205
],
[
-1.847283927519993,
48.07485437383629
],
[
-1.847293564947089,
48.074856760955505
],
[
-1.847390927465393,
48.074881131131576
],
[
-1.847676082274653,
48.07495201033902
],
[
-1.847936295094358,
48.07501790327057
],
[
-1.847920942229033,
48.075043424343626
],
[
-1.847845130660671,
48.07518117307127
],
[
-1.847770437872629,
48.07531508946436
],
[
-1.847691731297552,
48.07545638477885
],
[
-1.847677298927684,
48.075481686726405
],
[
-1.84765177038679,
48.07552629202206
],
[
-1.847618983913661,
48.075583820400794
],
[
-1.847519459978532,
48.07555936131535
],
[
-1.84744141242672,
48.075538772403384
],
[
-1.847366396051157,
48.07551895675607
],
[
-1.847223616279479,
48.07548352533765
],
[
-1.847097775675552,
48.07545233572712
],
[
-1.847170097029665,
48.07532464809081
],
[
-1.847064544371103,
48.07529755913839
]
]
]
},
"properties": {}
},
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.0751947317849,
"lon": -1.8474307637511687
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": "30",
"surf_min_pleine_terre": null
}Record 4uid: 2528 · bonus: —
{
"uid": 2528,
"bonus": null,
"semio": "theme_coeffveget",
"gml_id": "plui_theme_coeffveget.2528",
"etiquette": "V=15%\r\n(B)",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-1.817215645766096,
48.15642989196968
]
},
"properties": {}
},
"semio_type": "texte",
"geo_point_2d": {
"lat": 48.15642989196968,
"lon": -1.8172156457660957
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": null,
"surf_min_pleine_terre": null
}Record 5uid: 315 · bonus: B
{
"uid": 315,
"bonus": "B",
"semio": "20",
"gml_id": "plui_theme_coeffveget.315",
"etiquette": null,
"geo_shape": "[large value omitted]",
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.12098412110416,
"lon": -1.6297146200449675
},
"etiquette_angle": 0,
"semio_categorie": "thematique",
"surf_min_ecoamenagee": "20",
"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.