Summary of PLUi zoning for Rennes Métropole (December 2022 and December 2023)Synthèse des zonages PLUi de Rennes Métropole (décembre 2022 et décembre 2023)
Synthèse des zonages PLUi de Rennes Métropole (décembre 2022 et décembre 2023)Summary of PLUi zoning for Rennes Métropole (December 2022 and December 2023)
This dataset provides a synthesis of the zoning of the Intercommunal Local Urban Plan (PLUi) for Rennes Métropole, covering the versions in force as of 31 December 2022 and 31 December 2023. It is derived from the legally enforceable PLUi and was captured using GIS tools by Rennes Métropole. The data outlines the various zoning categories applied across the metropolitan area, offering a reference for urban planning, land-use analysis, and administrative purposes at the local level. It is published and maintained by Rennes Métropole, the local authority responsible for intercommunal planning in the Rennes area.Il s'agit d'une synthèse des zonages du Plan Local d'Urbanisme Intercommunal (PLUi) de Rennes Métropole au 31/12/2022. Elle est issue du PLUi opposable, en date du 31/12/2022, et saisie sur des outils SIG par Rennes Métropole.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (11 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 | — |
| — | id_plui_synthese_2022Id plui synthese 2022 | int | — |
| — | id_rmId rm | int | — |
| — | libelle | text | — |
| — | typezone | text | — |
| — | datevalid | text | — |
| — | perimetre_geoPerimetre geo | double | — |
| — | aire_geoAire geo | double | — |
| 0.4% | semio | 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 1id_rm: 3144 · semio: —
{
"id_rm": 3144,
"semio": null,
"gml_id": "plui_synthese_2022.2470",
"libelle": "Ni",
"aire_geo": 14171.97,
"typezone": "Nh",
"datevalid": "20191219",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.033455027659635,
"lon": -1.6750516017596235
},
"perimetre_geo": 536.33,
"id_plui_synthese_2022": 2470
}Record 2id_rm: 3199 · semio: —
{
"id_rm": 3199,
"semio": null,
"gml_id": "plui_synthese_2022.2480",
"libelle": "Ne",
"aire_geo": 8774.9,
"typezone": "Nh",
"datevalid": "20191219",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.087226681060216,
"lon": -1.6148214727215215
},
"perimetre_geo": 620.93,
"id_plui_synthese_2022": 2480
}Record 3id_rm: 3208 · semio: —
{
"id_rm": 3208,
"semio": null,
"gml_id": "plui_synthese_2022.2482",
"libelle": "UE2h",
"aire_geo": 10575.54,
"typezone": "U",
"datevalid": "20191219",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
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[
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],
[
-1.640086164401622,
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],
[
-1.640160173451468,
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],
[
-1.640183879042936,
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],
[
-1.640356555057481,
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],
[
-1.640438985948583,
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],
[
-1.640779932088921,
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],
[
-1.640797950126343,
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],
[
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],
[
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],
[
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],
[
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],
[
-1.641534281375403,
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],
[
-1.641670609108687,
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],
[
-1.641843121752034,
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],
[
-1.6420075974576,
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],
[
-1.642113022923169,
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],
[
-1.642232449678653,
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],
[
-1.642243675167654,
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],
[
-1.642175352400054,
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],
[
-1.642171522398196,
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],
[
-1.64175052110751,
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],
[
-1.641737047501098,
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],
[
-1.641750580282697,
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],
[
-1.641322881821158,
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],
[
-1.641280543089167,
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],
[
-1.640974245665656,
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],
[
-1.64076006562345,
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],
[
-1.640731891883734,
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],
[
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],
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],
[
-1.640068557028514,
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]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.16623985914299,
"lon": -1.64101129418386
},
"perimetre_geo": 476.75,
"id_plui_synthese_2022": 2482
}Record 4id_rm: 3279 · semio: —
{
"id_rm": 3279,
"semio": null,
"gml_id": "plui_synthese_2022.2491",
"libelle": "Al",
"aire_geo": 38845.89,
"typezone": "Ah",
"datevalid": "20191219",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
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],
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],
[
-1.58016127908865,
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],
[
-1.580238651887461,
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],
[
-1.58036927799709,
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],
[
-1.580272984984488,
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],
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-1.580606866576827,
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],
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[
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],
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],
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],
[
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],
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],
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],
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],
[
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[
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],
[
-1.582198369598837,
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],
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],
[
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],
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],
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],
[
-1.581802948969862,
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],
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-1.581116603771915,
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],
[
-1.580578463424906,
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],
[
-1.579983869857564,
48.041034953989325
],
[
-1.579577374909551,
48.04107211501261
],
[
-1.579128015036859,
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],
[
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],
[
-1.579110220578064,
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],
[
-1.5790935033236,
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],
[
-1.579486991114123,
48.039732838553384
],
[
-1.579572253963101,
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],
[
-1.579879772348624,
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]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.04017735919209,
"lon": -1.5807948337186013
},
"perimetre_geo": 831.41,
"id_plui_synthese_2022": 2491
}Record 5id_rm: 3298 · semio: —
{
"id_rm": 3298,
"semio": null,
"gml_id": "plui_synthese_2022.2496",
"libelle": "UG2b",
"aire_geo": 97470.73,
"typezone": "U",
"datevalid": "20191219",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.07118073656623,
"lon": -1.8395321533431286
},
"perimetre_geo": 1821.05,
"id_plui_synthese_2022": 2496
}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/synthese_plui_2022
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/synthese_plui_2022/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
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