Zones affected by connection to urban district heating networksZones concernées par le raccordement aux réseaux de chaleur urbains

Name: Zones affected by connection to urban district heating networks
Creator: opendatasoft

Zones concernées par le raccordement aux réseaux de chaleur urbainsZones affected by connection to urban district heating networks

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This dataset, published by Rennes Métropole, delineates zones located near existing and future urban district heating networks, using buffer perimeters of 50, 100, and 150 metres around the network routes. These perimeters are intended to help identify building permits and development projects that may be subject to connection requirements to the heating networks. The dataset covers the Rennes Métropole area and supports urban planning and energy policy decisions related to district heating infrastructure.Cette couche localise les zones qui se situent à proximité des réseaux de chaleur urbains existants et futurs. Les périmètres sont de 50, 100 et 150m autour du tracé des réseaux. Ces périmètres sont destinés à identifier les permis de construire et projets d'aménagement pouvant faire l'objet d'un...

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How is this computed?

fair

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Data schema (6 fields)

Filterable via the API (4)

gml_ididnomcorridor

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	Geographic centroid coordinates of the zone.Geographic centroid coordinates of the zone.
geo_shapeShape	geo_shape	Polygon geometry defining the boundary of the zone.Polygon geometry defining the boundary of the zone.
gml_idGml id	text	Unique GML identifier of the geographic feature.Unique GML identifier of the geographic feature.
id	int	Internal record identifier for the zone.Internal record identifier for the zone.
nom	text	Name of the district or heating network zone.Name of the district or heating network zone.
corridor	int	Buffer distance in metres around the heating network route.Buffer distance in metres around the heating network route.

Schema captured from opendatasoft 6 days ago.

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Sample data (5 records)

Record 1id: 14 · nom: Nord-Est

{
  "id": 14,
  "nom": "Nord-Est",
  "gml_id": "v_zone_reseau_chaleur_urbain.14",
  "corridor": 100,
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 48.122294337982765,
    "lon": -1.7085850986582256
  }
}

Record 2id: 15 · nom: Nord-Est

{
  "id": 15,
  "nom": "Nord-Est",
  "gml_id": "v_zone_reseau_chaleur_urbain.15",
  "corridor": 100,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -1.704323810935158,
              48.122684297571936
            ],
            [
              -1.704344782043995,
              48.122642330369274
            ],
            [
              -1.704361511454088,
              48.12255605952899
            ],
            [
              -1.704362767297146,
              48.122529986647784
            ],
            [
              -1.7044013255186,
              48.122563349230795
            ],
            [
              -1.704454137685169,
              48.12259410542456
            ],
            [
              -1.70438371409488,
              48.1226344758505
            ],
            [
              -1.704323767825656,
              48.12268551612406
            ],
            [
              -1.704323810935158,
              48.122684297571936
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.12260072200563,
    "lon": -1.7043833837806006
  }
}

Record 3id: 18 · nom: Nord-Est

{
  "id": 18,
  "nom": "Nord-Est",
  "gml_id": "v_zone_reseau_chaleur_urbain.18",
  "corridor": 100,
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 48.12500380289721,
    "lon": -1.6978775259064727
  }
}

Record 4id: 41 · nom: Nord-Est

{
  "id": 41,
  "nom": "Nord-Est",
  "gml_id": "v_zone_reseau_chaleur_urbain.41",
  "corridor": 100,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -1.663959886105537,
              48.12327645885454
            ],
            [
              -1.663965897292773,
              48.123273893288626
            ],
            [
              -1.663968327370785,
              48.123275629251104
            ],
            [
              -1.663959886105537,
              48.12327645885454
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.12327532713143,
    "lon": -1.6639647035896983
  }
}

Record 5id: 43 · nom: Nord-Est

{
  "id": 43,
  "nom": "Nord-Est",
  "gml_id": "v_zone_reseau_chaleur_urbain.43",
  "corridor": 100,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -1.652937144986429,
              48.125856251890475
            ],
            [
              -1.652962638553344,
              48.12584455267301
            ],
            [
              -1.653061353247054,
              48.125856700661956
            ],
            [
              -1.653117828787837,
              48.12585646338504
            ],
            [
              -1.653165331350534,
              48.125866024696634
            ],
            [
              -1.653170451403939,
              48.1258670404219
            ],
            [
              -1.653199220980872,
              48.125872664578594
            ],
            [
              -1.653200951740908,
              48.125873001239086
            ],
            [
              -1.653262453101453,
              48.125884904269476
            ],
            [
              -1.653263129507898,
              48.125885034930654
            ],
            [
              -1.653267786316316,
              48.1258859326675
            ],
            [
              -1.653274492203572,
              48.12588720025608
            ],
            [
              -1.653294914165066,
              48.12589098406748
            ],
            [
              -1.653315909559122,
              48.12589498823949
            ],
            [
              -1.653350488519103,
              48.125910127192924
            ],
            [
              -1.65347923318657,
              48.12594385192593
            ],
            [
              -1.653485441063002,
              48.12594500155633
            ],
            [
              -1.653487744485802,
              48.12594545608515
            ],
            [
              -1.653496693559417,
              48.12594727411164
            ],
            [
              -1.653611968938823,
              48.125963467299144
            ],
            [
              -1.653644088312907,
              48.125964139298105
            ],
            [
              -1.65358353245221,
              48.125996564240396
            ],
            [
              -1.653562784921203,
              48.126007632858204
            ],
            [
              -1.653548267108582,
              48.126015277146955
            ],
            [
              -1.653449933955368,
              48.12607891241873
            ],
            [
              -1.653411031004513,
              48.126117112065465
            ],
            [
              -1.65338354572993,
              48.12613183649054
            ],
            [
              -1.653347920993757,
              48.12607523660584
            ],
            [
              -1.653274097247623,
              48.12600223655875
            ],
            [
              -1.653180420192421,
              48.1259402814377
            ],
            [
              -1.653070489760424,
              48.12589175210411
            ],
            [
              -1.652948530490458,
              48.12585851345822
            ],
            [
              -1.652937144986429,
              48.125856251890475
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.12596919969328,
    "lon": -1.6533359871580111
  }
}

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/zone_raccordement_reseau_chaleur_urbain_rennes

License

Open Data Commons Open Database License 1.0Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/zone_raccordement_reseau_chaleur_urbain_rennes/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

7 000 req/day

per ipmeasured

observed 6 days ago

Dataset

Volume & freshness

Records

130

Last upstream update

7 days ago

2026-09-01

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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