Canalisation des réseaux de chaleur urbain

Name: Canalisation des réseaux de chaleur urbain
Creator: opendatasoft

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Dictionnaire Public Ce jeu de données présente sous forme de linéaires, les canalisations des réseaux de chaleur urbain sur le territoire métropolitain. Ce jeu de donnée peut être mis en relation avec les périmètres de concession du réseau de chaleur urbain Ce jeu de données est disponible dans u...

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Trust score

How is this computed?

poor

Weighted across five axes. Tap a ring for what it measures.

Data schema (8 fields)

Filterable via the API (6)

gidgeom_errclasse_precisionrs_eg_concession_scdatemdate

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	—
geo_shapeShape	geo_shape	—
gid	int	Clé primaire
geom_errGeom err	text	Code d'erreur géométrique : Liste des valeurs possibles : 9999 : Polygone compose et / ou à sections multiples 9998 : Linéaire compose et / ou à sections multiples 9996 : La géométrie contient des informations LRS 9995 : Nombre de dimensions différent de 2 ou 3 9994 : Présence d'un arc de cercle 9000 : Erreur autre 13343 : Polygone de moins de 4 points 13349 : Polygone papillon 13350 : Deux éléments d'un polygone archipel se touchent 13351 : Deux éléments d'un polygone archipel se touchent 13356 : Point double 13366 : Combinaison invalide d'intérieur / extérieur d'un polygone 13367 : Orientation invalide d'intérieur / extérieur d'un polygone
classe_precisionClasse precision	text	Classe de précision : Liste des valeurs possibles : SANS_CLASSE : Sans classe de précision CLASSE_A : Classe A : incertitude < 0,5 m CLASSE_C : Classe C : incertitude > 1,5 m
rs_eg_concession_sRs eg concession s	text	Clé étrangère. Relation simple vers EG_CONCESSION_S
cdate	datetime	Date de création
mdate	datetime	Date de modification

Schema captured from opendatasoft 1 hour 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.

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Sample data (5 records)

Record 1gid: 4250 · cdate: 2025-11-07T09:47:14+00:00

{
  "gid": 4250,
  "cdate": "2025-11-07T09:47:14+00:00",
  "mdate": "2025-11-07T09:47:14+00:00",
  "geom_err": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5534037,
          44.8216345
        ],
        [
          -0.5534158,
          44.8216338
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.82163415,
    "lon": -0.55340975
  },
  "classe_precision": "CLASSE_A",
  "rs_eg_concession_s": "18"
}

Record 2gid: 4252 · cdate: 2025-11-07T09:47:14+00:00

{
  "gid": 4252,
  "cdate": "2025-11-07T09:47:14+00:00",
  "mdate": "2025-11-07T09:47:14+00:00",
  "geom_err": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5336992,
          44.8112007
        ],
        [
          -0.5336251,
          44.8112205
        ],
        [
          -0.5336091,
          44.8112259
        ],
        [
          -0.5336059,
          44.8112256
        ],
        [
          -0.5336028,
          44.8112242
        ],
        [
          -0.5335968,
          44.8112139
        ],
        [
          -0.5335941,
          44.8112125
        ],
        [
          -0.5335908,
          44.8112122
        ],
        [
          -0.5335812,
          44.811215
        ],
        [
          -0.5335712,
          44.8112181
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.81121431963824,
    "lon": -0.5336335678666445
  },
  "classe_precision": "CLASSE_A",
  "rs_eg_concession_s": "18"
}

Record 3gid: 4254 · cdate: 2025-11-07T09:47:14+00:00

{
  "gid": 4254,
  "cdate": "2025-11-07T09:47:14+00:00",
  "mdate": "2025-11-07T09:47:14+00:00",
  "geom_err": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5591652,
          44.850752
        ],
        [
          -0.5591607,
          44.8507487
        ],
        [
          -0.5591039,
          44.8507089
        ],
        [
          -0.5590993,
          44.8507052
        ],
        [
          -0.5590903,
          44.8507056
        ],
        [
          -0.5590872,
          44.8507086
        ],
        [
          -0.55908,
          44.8507138
        ],
        [
          -0.5590759,
          44.8507139
        ],
        [
          -0.5590691,
          44.8507089
        ],
        [
          -0.5589627,
          44.8506317
        ],
        [
          -0.5589586,
          44.8506286
        ],
        [
          -0.5589604,
          44.8506272
        ],
        [
          -0.5589673,
          44.8506223
        ],
        [
          -0.558975,
          44.850617
        ],
        [
          -0.558975,
          44.850615
        ],
        [
          -0.5589673,
          44.8506095
        ],
        [
          -0.5589611,
          44.8506044
        ],
        [
          -0.5589613,
          44.8506015
        ],
        [
          -0.5589683,
          44.8505966
        ],
        [
          -0.558996,
          44.8505785
        ],
        [
          -0.559003,
          44.8505737
        ],
        [
          -0.5590268,
          44.8505455
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.85065806252672,
    "lon": -0.5590360154197305
  },
  "classe_precision": "CLASSE_A",
  "rs_eg_concession_s": "7"
}

Record 4gid: 4259 · cdate: 2025-11-07T09:47:14+00:00

{
  "gid": 4259,
  "cdate": "2025-11-07T09:47:14+00:00",
  "mdate": "2025-11-07T09:47:14+00:00",
  "geom_err": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5525008,
          44.8208685
        ],
        [
          -0.5524964,
          44.8208673
        ],
        [
          -0.5524851,
          44.8208633
        ],
        [
          -0.5524772,
          44.820861
        ],
        [
          -0.5524762,
          44.8208606
        ],
        [
          -0.5524756,
          44.82086
        ],
        [
          -0.5524754,
          44.8208592
        ],
        [
          -0.5524755,
          44.8208584
        ],
        [
          -0.5524786,
          44.8208527
        ],
        [
          -0.552482,
          44.8208469
        ],
        [
          -0.5524822,
          44.8208461
        ],
        [
          -0.552482,
          44.8208453
        ],
        [
          -0.5524814,
          44.8208446
        ],
        [
          -0.5524804,
          44.8208441
        ],
        [
          -0.5524715,
          44.8208414
        ],
        [
          -0.5524026,
          44.8208197
        ],
        [
          -0.5523701,
          44.820809
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.820835870964046,
    "lon": -0.5524418171508092
  },
  "classe_precision": "CLASSE_A",
  "rs_eg_concession_s": "18"
}

Record 5gid: 4260 · cdate: 2025-11-07T09:47:14+00:00

{
  "gid": 4260,
  "cdate": "2025-11-07T09:47:14+00:00",
  "mdate": "2025-11-07T09:47:14+00:00",
  "geom_err": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          -0.5086057,
          44.8714181
        ],
        [
          -0.5085764,
          44.871414
        ],
        [
          -0.5085679,
          44.8714445
        ],
        [
          -0.5085048,
          44.8714359
        ],
        [
          -0.5085131,
          44.871404
        ],
        [
          -0.5076282,
          44.871285
        ],
        [
          -0.5075349,
          44.8708952
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.8712834733216,
    "lon": -0.5079875283676234
  },
  "classe_precision": "CLASSE_A",
  "rs_eg_concession_s": "15"
}

Live sample captured at profiling time — values may have changed upstream.

Using the API

Configuration

Base URL: https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/eg_reseau_chaleur_l

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/eg_reseau_chaleur_l/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.

Full API documentation ↗

Rate limits

50 000 req/day

per ipmeasured

observed 1 hour ago

Dataset

Volume & freshness

Records

2.5k

2463

Last upstream update

16 hours ago

2026-07-25

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

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