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 12 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_2021.28852",
"period": "Lden",
"objectid": 28852,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.66398548155591,
48.06331622539071
],
[
-1.663984994661009,
48.063313812260525
],
[
-1.663984122191857,
48.06331159499962
],
[
-1.663983769229949,
48.063309176431645
],
[
-1.663988140505347,
48.06330548476812
],
[
-1.664017560715366,
48.06331122854875
],
[
-1.6640175070964,
48.063326999512434
],
[
-1.663991869447818,
48.06332146258612
],
[
-1.66398548155591,
48.06331622539071
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.063315752519244,
"lon": -1.6640018312854752
}
}Record 2to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.28854",
"period": "Lden",
"objectid": 28854,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.666621300803317,
48.08330257990726
],
[
-1.666595945277272,
48.0833002755714
],
[
-1.66656995231059,
48.083298357543555
],
[
-1.666536915025889,
48.083294382772785
],
[
-1.66650310671116,
48.08322835545806
],
[
-1.666563935684478,
48.08320209707333
],
[
-1.666599530916577,
48.083177854520585
],
[
-1.666629782856054,
48.083189691595905
],
[
-1.666627992331206,
48.08319219719951
],
[
-1.666647781313492,
48.083211757831606
],
[
-1.666740737830471,
48.083262678069886
],
[
-1.666621300803317,
48.08330257990726
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.08324837191247,
"lon": -1.6666077666987016
}
}Record 3to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.28858",
"period": "Lden",
"objectid": 28858,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.608293520249102,
48.1152047324865
],
[
-1.608293252102415,
48.11520474323222
],
[
-1.608293126052567,
48.11520483838603
],
[
-1.60829069901139,
48.11520628718464
],
[
-1.608285911208357,
48.11520089269663
],
[
-1.608431313184613,
48.11515064523878
],
[
-1.608401445669751,
48.11509949263178
],
[
-1.608460434229278,
48.11513623313358
],
[
-1.608521240269916,
48.1151285703376
],
[
-1.608458822258968,
48.11514981310948
],
[
-1.608458546088827,
48.115149734074635
],
[
-1.608293520249102,
48.1152047324865
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.115151350099,
"lon": -1.608413697506541
}
}Record 4to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.28861",
"period": "Lden",
"objectid": 28861,
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 48.0906382516342,
"lon": -1.6730628211230527
}
}Record 5to: 60 · from: 55
{
"to": 60,
"from": 55,
"type": "Routier",
"annee": 2021,
"gml_id": "bruit_isophone_2021.28864",
"period": "Lden",
"objectid": 28864,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.701009254076182,
48.13224210371208
],
[
-1.700951539218764,
48.13222031329017
],
[
-1.701014815197502,
48.13223223480405
],
[
-1.701206820663839,
48.13227268591034
],
[
-1.701212462506215,
48.132268130107306
],
[
-1.701219100155372,
48.13227596860947
],
[
-1.701217109996723,
48.13227776201393
],
[
-1.701408137637342,
48.13228977839936
],
[
-1.701454338266138,
48.13229158453341
],
[
-1.701530557413602,
48.13230225588219
],
[
-1.701515000501996,
48.13232650023294
],
[
-1.701477185592669,
48.132478617546546
],
[
-1.701326329016514,
48.132380167095626
],
[
-1.701320187069247,
48.13236005355081
],
[
-1.701213969058925,
48.13228464853993
],
[
-1.701189045584872,
48.132279990319255
],
[
-1.701009254076182,
48.13224210371208
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.13234503974712,
"lon": -1.7013770617750983
}
}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.