Indice de confort thermique urbain en 2021 agrégé à la maille hexagonale de 250m

Name: Indice de confort thermique urbain en 2021 agrégé à la maille hexagonale de 250m
Creator: opendatasoft

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Dictionnaire Public Ce jeu de données représente l'indice de confort thermique urbain agrégé à la maille hexagonale de 250m sur le territoire de Bordeaux Métropole. Ce jeu a été réalisé à partir du raster Indice de confort thermique urbain 2021 . Pour chaque hexagone est fourni l'indice de confor...

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Trust score

How is this computed?

poor

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

Data schema (12 fields)

Filterable via the API (10)

gidgeom_errictu_minictu_meanictu_medianictu_maxictu_sumictu_countcdatemdate

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	—
—	geo_shapeShape	geo_shape	—
—	gid	text	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
—	ictu_minIctu min	double	Indice de confort thermique urbain minimal
—	ictu_meanIctu mean	double	Indice de confort thermique urbain moyen
—	ictu_medianIctu median	double	Indice de confort thermique urbain médian
—	ictu_maxIctu max	double	Indice de confort thermique urbain maximal
—	ictu_sumIctu sum	double	Somme de toutes les valeurs d'ICTU
—	ictu_countIctu count	text	Nombre de valeurs d'ICTU
100%	cdate	datetime	Date de création
100%	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: 34908 · cdate: 2025-09-01T17:02:23+00:00

{
  "gid": "34908",
  "cdate": "2025-09-01T17:02:23+00:00",
  "mdate": "2025-09-01T17:02:23+00:00",
  "geom_err": null,
  "ictu_max": 2.78,
  "ictu_min": 1.6,
  "ictu_sum": 25010.87,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.8129154,
            44.8975503
          ],
          [
            -0.8119282,
            44.8964572
          ],
          [
            -0.8101028,
            44.8965183
          ],
          [
            -0.8092644,
            44.8976724
          ],
          [
            -0.8102516,
            44.8987656
          ],
          [
            -0.8120771,
            44.8987045
          ],
          [
            -0.8129154,
            44.8975503
          ]
        ]
      ]
    },
    "properties": {}
  },
  "ictu_mean": 1.89,
  "ictu_count": "13260",
  "ictu_median": 1.74,
  "geo_point_2d": {
    "lat": 44.8976114015751,
    "lon": -0.8110899135078967
  }
}

Record 2gid: 34911 · cdate: 2025-09-01T17:02:23+00:00

{
  "gid": "34911",
  "cdate": "2025-09-01T17:02:23+00:00",
  "mdate": "2025-09-01T17:02:23+00:00",
  "geom_err": null,
  "ictu_max": 2.86,
  "ictu_min": 1.25,
  "ictu_sum": 29229.87,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.81366,
            44.9087869
          ],
          [
            -0.8126727,
            44.9076938
          ],
          [
            -0.8108469,
            44.9077549
          ],
          [
            -0.8100084,
            44.9089091
          ],
          [
            -0.8109957,
            44.9100022
          ],
          [
            -0.8128216,
            44.9099411
          ],
          [
            -0.81366,
            44.9087869
          ]
        ]
      ]
    },
    "properties": {}
  },
  "ictu_mean": 2.18,
  "ictu_count": "13431",
  "ictu_median": 2.19,
  "geo_point_2d": {
    "lat": 44.90884800717879,
    "lon": -0.8118342120397894
  }
}

Record 3gid: 34912 · cdate: 2025-09-01T17:02:23+00:00

{
  "gid": "34912",
  "cdate": "2025-09-01T17:02:23+00:00",
  "mdate": "2025-09-01T17:02:23+00:00",
  "geom_err": null,
  "ictu_max": 2.78,
  "ictu_min": 1.21,
  "ictu_sum": 22032.4,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.8135111,
            44.9065396
          ],
          [
            -0.8125238,
            44.9054465
          ],
          [
            -0.810698,
            44.9055075
          ],
          [
            -0.8098596,
            44.9066617
          ],
          [
            -0.8108469,
            44.9077549
          ],
          [
            -0.8126727,
            44.9076938
          ],
          [
            -0.8135111,
            44.9065396
          ]
        ]
      ]
    },
    "properties": {}
  },
  "ictu_mean": 1.67,
  "ictu_count": "13196",
  "ictu_median": 1.61,
  "geo_point_2d": {
    "lat": 44.90660067310159,
    "lon": -0.8116853372544143
  }
}

Record 4gid: 34914 · cdate: 2025-09-01T17:02:23+00:00

{
  "gid": "34914",
  "cdate": "2025-09-01T17:02:23+00:00",
  "mdate": "2025-09-01T17:02:23+00:00",
  "geom_err": null,
  "ictu_max": 2.49,
  "ictu_min": 1.41,
  "ictu_sum": 25547.06,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.813809,
            44.9110342
          ],
          [
            -0.8128216,
            44.9099411
          ],
          [
            -0.8109957,
            44.9100022
          ],
          [
            -0.8101572,
            44.9111564
          ],
          [
            -0.8111446,
            44.9122495
          ],
          [
            -0.8129705,
            44.9121884
          ],
          [
            -0.813809,
            44.9110342
          ]
        ]
      ]
    },
    "properties": {}
  },
  "ictu_mean": 1.9,
  "ictu_count": "13460",
  "ictu_median": 1.89,
  "geo_point_2d": {
    "lat": 44.9110953,
    "lon": -0.8119830999999998
  }
}

Record 5gid: 34916 · cdate: 2025-09-01T17:02:23+00:00

{
  "gid": "34916",
  "cdate": "2025-09-01T17:02:23+00:00",
  "mdate": "2025-09-01T17:02:23+00:00",
  "geom_err": null,
  "ictu_max": 2.56,
  "ictu_min": 1.38,
  "ictu_sum": 24003.77,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.814107,
            44.9155288
          ],
          [
            -0.8131195,
            44.9144357
          ],
          [
            -0.8112934,
            44.9144968
          ],
          [
            -0.8104549,
            44.915651
          ],
          [
            -0.8114423,
            44.9167441
          ],
          [
            -0.8132684,
            44.916683
          ],
          [
            -0.814107,
            44.9155288
          ]
        ]
      ]
    },
    "properties": {}
  },
  "ictu_mean": 1.78,
  "ictu_count": "13460",
  "ictu_median": 1.69,
  "geo_point_2d": {
    "lat": 44.915589899258094,
    "lon": -0.8122809277285198
  }
}

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/ri_ictu_s

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/ri_ictu_s/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

11k

11056

Last upstream update

24 days ago

2026-07-01

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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