Cartographie du bruit sur Rennes Métropole - type a isophones
Couche d'isophones par typologie de bruit (routier, ferré, industriel et aérien) sur 24h (Lden) et la nuit (Ln). Les courbes d'isophones pour le réseau ferré ont été mises à jour en 2023 pour tenir compte de la mise en production de la nouvelle LGV et de la ligne B du métro.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | — |
| geo_shapeShape | geo_shape | — |
| gml_idGml id | text | — |
| objectid | int | — |
| from | double | — |
| to | double | — |
| period | text | — |
| type | text | — |
| annee | int | — |
Schema captured from opendatasoft 2 hours 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 1to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.27830",
"period": "Lden",
"objectid": 27830,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.652183179178177,
48.16021574347216
],
[
-1.652168414270215,
48.160217781957925
],
[
-1.65216535689027,
48.1601734839244
],
[
-1.652219468653348,
48.16016273672282
],
[
-1.652242144877742,
48.160194618229525
],
[
-1.652210638875096,
48.16022751849381
],
[
-1.652183179178177,
48.16021574347216
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.16019362060425,
"lon": -1.6522008547907294
}
}Record 2to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.27833",
"period": "Lden",
"objectid": 27833,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.577487720505123,
48.16446597503215
],
[
-1.577507242070496,
48.16445528778261
],
[
-1.577491439759629,
48.164466908320726
],
[
-1.577491417240608,
48.164468170607556
],
[
-1.577487423012769,
48.16446868984397
],
[
-1.577487720505123,
48.16446597503215
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.16446371182352,
"lon": -1.577494164894138
}
}Record 3to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.27845",
"period": "Lden",
"objectid": 27845,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.590496015698636,
48.1110047834321
],
[
-1.590489372040935,
48.110948284825554
],
[
-1.590534874307399,
48.1109123198637
],
[
-1.590566146580304,
48.11090088993892
],
[
-1.590690068607766,
48.110935767342596
],
[
-1.590867540121973,
48.11105076917958
],
[
-1.590647407107109,
48.11110037376525
],
[
-1.590496015698636,
48.1110047834321
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.11100358097189,
"lon": -1.5906508807278266
}
}Record 4to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.27851",
"period": "Lden",
"objectid": 27851,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.690933903533083,
48.0813289010099
],
[
-1.691006252744581,
48.0813644241066
],
[
-1.691015081075737,
48.08137721962207
],
[
-1.690996294028992,
48.08140871369949
],
[
-1.690925980448369,
48.081394102881134
],
[
-1.690933903533083,
48.0813289010099
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.08137359567129,
"lon": -1.6909660854688422
}
}Record 5to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.27858",
"period": "Lden",
"objectid": 27858,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.485778864361246,
48.109243223536254
],
[
-1.4857713472982,
48.109244958288535
],
[
-1.485761959748821,
48.10924838770374
],
[
-1.485767481418295,
48.10923763128486
],
[
-1.485774574107067,
48.10924339090216
],
[
-1.485778864361246,
48.109243223536254
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.10924324998778,
"lon": -1.485768408040881
}
}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/cartographie-du-bruit-2021-sur-rennes-metropole-type-a-isophones0
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/cartographie-du-bruit-2021-sur-rennes-metropole-type-a-isophones0/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.