RLPi de Rennes Métropole - Plan de zonage du Règlement Local de Publicité Intercommunal
Cette couche représente le plan de zonage du Règlement Local de Publicité intercommunal (RLPi). Les trois zonages du règlement graphique (Z1, Z2, Z3) sont les suivants : - La zone 1 (Z1) correspond aux espaces agglomérés à vocation résidentielle ou à vocation mixte, d’habitat et d’activités. Elle...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (8 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic coordinates of the point representing the zone.Geographic coordinates of the point representing the zone. |
| geo_shapeShape | geo_shape | Geometric shape of the zoning area in GeoJSON format.Geometric shape of the zoning area in GeoJSON format. |
| gml_idGml id | text | Unique GML identifier of the geographic feature.Unique GML identifier of the geographic feature. |
| uid | int | Unique numeric identifier of the record.Unique numeric identifier of the record. |
| semio_categorieSemio categorie | text | Category of the symbology, e.g. zoning.Category of the symbology, e.g. zoning. |
| semio_typeSemio type | text | Type of graphical representation used for the feature, e.g. polyline.Type of graphical representation used for the feature, e.g. polyline. |
| semio | text | Zoning code assigned to the area (Z1, Z2, or Z3).Zoning code assigned to the area (Z1, Z2, or Z3). |
| etiquette | text | Label displayed for the zoning area.Label displayed for the zoning area. |
Schema captured from opendatasoft 7 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: 7 · semio: Z3
{
"uid": 7,
"semio": "Z3",
"gml_id": "rlpi_zonage.fid--2197260c_1a05bdb840d_948",
"etiquette": "Z3",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "GeometryCollection",
"geometries": [
{
"type": "LineString",
"coordinates": [
[
-1.692637418289241,
48.096345768519036
],
[
-1.694807988284788,
48.095637260067804
],
[
-1.695789302150416,
48.095392139324595
],
[
-1.696317011540049,
48.095246604136385
],
[
-1.697159417547841,
48.09488317068333
],
[
-1.698006136973548,
48.094567237342375
],
[
-1.701219634047514,
48.093510798100205
],
[
-1.701797544396487,
48.09329165858683
],
[
-1.702295714171479,
48.09305670568548
],
[
-1.702732387018617,
48.092771814722596
],
[
-1.703235201751129,
48.09243176348231
],
[
-1.703661468318704,
48.09203285509049
],
[
-1.704029268413228,
48.091617264199265
],
[
-1.704466830628227,
48.09110821917295
]
]
}
]
},
"properties": {}
},
"semio_type": "polyligne",
"geo_point_2d": {
"lat": 48.094176138023954,
"lon": -1.698817428109616
},
"semio_categorie": "zonage"
}Record 2uid: 8 · semio: Z2b
{
"uid": 8,
"semio": "Z2b",
"gml_id": "rlpi_zonage.fid--2197260c_1a05bdb840d_949",
"etiquette": "Z2b",
"geo_shape": "[large value omitted]",
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.01312223396818,
"lon": -1.5975075786643709
},
"semio_categorie": "zonage"
}Record 3uid: 10 · semio: Z3
{
"uid": 10,
"semio": "Z3",
"gml_id": "rlpi_zonage.fid--2197260c_1a05bdb840d_94b",
"etiquette": "Z3",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "GeometryCollection",
"geometries": [
{
"type": "LineString",
"coordinates": [
[
-1.637686507631075,
48.095178510109406
],
[
-1.637268322151061,
48.096016123465255
],
[
-1.63712357253054,
48.096226989242794
],
[
-1.63686209931095,
48.09648547565335
],
[
-1.636654037123144,
48.096546317360186
],
[
-1.636156221558022,
48.096709437502874
]
]
}
]
},
"properties": {}
},
"semio_type": "polyligne",
"geo_point_2d": {
"lat": 48.096098173908906,
"lon": -1.6370566742629524
},
"semio_categorie": "zonage"
}Record 4uid: 14 · semio: Z1b
{
"uid": 14,
"semio": "Z1b",
"gml_id": "rlpi_zonage.fid--2197260c_1a05bdb840d_94f",
"etiquette": "Z1b",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "GeometryCollection",
"geometries": [
{
"type": "Polygon",
"coordinates": [
[
[
-1.704861156276442,
48.085830675335664
],
[
-1.704861633826886,
48.085830750400405
],
[
-1.704859743618625,
48.085834002354595
],
[
-1.704861156276442,
48.085830675335664
]
]
]
}
]
},
"properties": {}
},
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.085831809363555,
"lon": -1.7048608445739846
},
"semio_categorie": "zonage"
}Record 5uid: 15 · semio: Z2b
{
"uid": 15,
"semio": "Z2b",
"gml_id": "rlpi_zonage.fid--2197260c_1a05bdb840d_950",
"etiquette": "Z2b",
"geo_shape": "[large value omitted]",
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.09121658740796,
"lon": -1.7847737048082177
},
"semio_categorie": "zonage"
}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/rlpi_zonage
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/rlpi_zonage/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.