Rennes Métropole Local Urban Plan (PLUi): thematic risk map – air, noise, high/very-high voltage linesPLUi de Rennes Métropole : plan thématique : risques : air, bruit, lignes HT THT
PLUi de Rennes Métropole : plan thématique : risques : air, bruit, lignes HT THTRennes Métropole Local Urban Plan (PLUi): thematic risk map – air, noise, high/very-high voltage lines
This dataset from Rennes Métropole is part of the intercommunal local urban plan (PLUi) thematic risk mapping, covering air quality and noise vigilance zones along road corridors, as well as buffer zones related to high-voltage and very-high-voltage power lines. It defines regulatory setback distances measured from the road axis, for example a 50-metre buffer on each side for category-3 roads and a wider buffer for other categories. The data supports urban planning and land-use decisions by identifying areas subject to noise, air-quality, and electromagnetic exposure constraints within the Rennes Métropole territory.Ces secteurs recensent les zones de vigilance Air/Bruit (plan thématique) Ces prescriptions réglementaires s'appliquent aux emprises définbies part rapport à l'axe viaire définissant la disposition. Une emprise de 50m. est définie de part et d'autre de l'axe viaire de catégorie 3, elle est de 75m...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (21 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates (latitude, longitude) of the feature.Geographic centroid coordinates (latitude, longitude) of the feature. |
| — | geo_shapeShape | geo_shape | Geometric shape of the feature in GeoJSON format.Geometric shape of the feature in GeoJSON format. |
| — | gml_idGml id | text | Unique GML identifier of the feature.Unique GML identifier of the feature. |
| — | uid | text | Unique identifier of the record.Unique identifier of the record. |
| — | semio_categorieSemio categorie | text | Cartographic symbology category of the feature.Cartographic symbology category of the feature. |
| — | semio_typeSemio type | text | Geometric symbology type used to represent the feature.Geometric symbology type used to represent the feature. |
| — | semio | text | Symbology code used for map rendering of the feature.Symbology code used for map rendering of the feature. |
| — | etiquette_angleEtiquette angle | int | Rotation angle, in degrees, of the map label.Rotation angle, in degrees, of the map label. |
| — | typepsc | text | Code identifying the type of planning prescription.Code identifying the type of planning prescription. |
| — | stypepsc | int | Code identifying the sub-type of planning prescription.Code identifying the sub-type of planning prescription. |
| 0% | date_proc_creatDate proc creat | datetime | Date the associated planning procedure was created.Date the associated planning procedure was created. |
| 0% | date_proc_modifDate proc modif | datetime | Date the associated planning procedure was last modified.Date the associated planning procedure was last modified. |
| 0% | date_creatDate creat | datetime | Date the record was created.Date the record was created. |
| 0% | date_modifDate modif | datetime | Date the record was last modified.Date the record was last modified. |
| 0.5% | nom | text | Name of the feature.Name of the feature. |
| 65.2% | libelle | text | Textual label describing the feature.Textual label describing the feature. |
| 0% | code_inseeINSEE commune code | text | INSEE code of the associated municipality.INSEE code of the associated municipality. |
| 0% | benef | text | Beneficiary of the planning prescription.Beneficiary of the planning prescription. |
| 0% | decis | text | Reference to the decision establishing the prescription.Reference to the decision establishing the prescription. |
| 0% | nomfic | text | Name of the associated document file.Name of the associated document file. |
| 0% | urlfic | text | URL link to the associated document file.URL link to the associated document file. |
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 1nom: — · uid: infra_httht_1149
{
"nom": null,
"uid": "infra_httht_1149",
"benef": null,
"decis": null,
"semio": "vigiltht2a_l",
"gml_id": "plui_theme_airbruitht.infra_httht_1149",
"nomfic": null,
"urlfic": null,
"libelle": null,
"typepsc": "99",
"stypepsc": 99048,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "GeometryCollection",
"geometries": [
{
"type": "LineString",
"coordinates": [
[
-1.557680452821119,
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],
[
-1.557577777896641,
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]
]
},
{
"type": "LineString",
"coordinates": [
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-1.557577777896641,
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],
[
-1.557788053555272,
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]
]
},
{
"type": "LineString",
"coordinates": [
[
-1.557577777896641,
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],
[
-1.557652778175281,
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],
[
-1.561227777382842,
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],
[
-1.564927778077504,
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],
[
-1.568688888708825,
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],
[
-1.573163888406025,
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],
[
-1.57902222278637,
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],
[
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],
[
-1.587111111628925,
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],
[
-1.588644444318805,
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]
]
},
{
"type": "LineString",
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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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[
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[
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],
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],
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]
]
}
]
},
"properties": {}
},
"code_insee": null,
"date_creat": null,
"date_modif": null,
"semio_type": "polyligne",
"geo_point_2d": {
"lat": 48.133278297429435,
"lon": -1.6583159234360059
},
"date_proc_creat": null,
"date_proc_modif": null,
"etiquette_angle": 0,
"semio_categorie": "thematique"
}Record 2nom: — · uid: infra_httht_13136
{
"nom": null,
"uid": "infra_httht_13136",
"benef": null,
"decis": null,
"semio": "vigiltht1a_l",
"gml_id": "plui_theme_airbruitht.infra_httht_13136",
"nomfic": null,
"urlfic": null,
"libelle": null,
"typepsc": "99",
"stypepsc": 99047,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "GeometryCollection",
"geometries": [
{
"type": "LineString",
"coordinates": [
[
-1.720681942421394,
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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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]
}
]
},
"properties": {}
},
"code_insee": null,
"date_creat": null,
"date_modif": null,
"semio_type": "polyligne",
"geo_point_2d": {
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"lon": -1.73140435408679
},
"date_proc_creat": null,
"date_proc_modif": null,
"etiquette_angle": 0,
"semio_categorie": "thematique"
}Record 3nom: — · uid: infra_httht_13713
{
"nom": null,
"uid": "infra_httht_13713",
"benef": null,
"decis": null,
"semio": "vigiltht1a_l",
"gml_id": "plui_theme_airbruitht.infra_httht_13713",
"nomfic": null,
"urlfic": null,
"libelle": null,
"typepsc": "99",
"stypepsc": 99047,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "GeometryCollection",
"geometries": [
{
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"coordinates": [
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]
},
"properties": {}
},
"code_insee": null,
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"semio_type": "polyligne",
"geo_point_2d": {
"lat": 48.107479588419324,
"lon": -1.7268422619192088
},
"date_proc_creat": null,
"date_proc_modif": null,
"etiquette_angle": 0,
"semio_categorie": "thematique"
}Record 4nom: — · uid: infra_httht_17824
{
"nom": null,
"uid": "infra_httht_17824",
"benef": null,
"decis": null,
"semio": "vigiltht2_s",
"gml_id": "plui_theme_airbruitht.infra_httht_17824",
"nomfic": null,
"urlfic": null,
"libelle": null,
"typepsc": "99",
"stypepsc": 99016,
"geo_shape": "[large value omitted]",
"code_insee": null,
"date_creat": null,
"date_modif": null,
"semio_type": "polygone",
"geo_point_2d": {
"lat": 48.119784522714376,
"lon": -1.6916992643245985
},
"date_proc_creat": null,
"date_proc_modif": null,
"etiquette_angle": 0,
"semio_categorie": "thematique"
}Record 5nom: — · uid: infra_httht_19488
{
"nom": null,
"uid": "infra_httht_19488",
"benef": null,
"decis": null,
"semio": "vigiltht2a_l",
"gml_id": "plui_theme_airbruitht.infra_httht_19488",
"nomfic": null,
"urlfic": null,
"libelle": null,
"typepsc": "99",
"stypepsc": 99048,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "GeometryCollection",
"geometries": [
{
"type": "LineString",
"coordinates": [
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]
}
]
},
"properties": {}
},
"code_insee": null,
"date_creat": null,
"date_modif": null,
"semio_type": "polyligne",
"geo_point_2d": {
"lat": 48.08260741246311,
"lon": -1.5644701216126684
},
"date_proc_creat": null,
"date_proc_modif": null,
"etiquette_angle": 0,
"semio_categorie": "thematique"
}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-risques-air-bruit-lignes-ht-tht
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/plui-de-rennes-metropole-plan-thematique-risques-air-bruit-lignes-ht-tht/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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