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Register record·API·FRSTALE · checked 4d ago
I

Ilot de chaleur ou de fraicheur urbain basé sur l'analyse des températures de surface de 2022

APIDiscovered1/7blocked by verifiedQuery nowOpen workbenchSubscribe🇫🇷France

Dictionnaire Public Ce jeu de données présente, sous la forme d'objets surfaciques, les ilots de chaleur ou de fraicheur urbains basés sur l'analyse des températures de surface de 2022. Ce jeu de données est disponible dans un format additionnel : Téléchargement au format AutoCAD DWG

32
poor

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

Data schema (10 fields)

Filterable via the API (8)
gidgeom_errinseecdatemdatedeltadimensiondate_releve

Click a field to see example values.

FieldTypeDescription
geo_point_2dGeo Pointgeo_point_2d
geo_shapeShapegeo_shape
gidFilterable via the APIintClé primaire
geom_errFilterable via the APIGeom errtextCode 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
inseeFilterable via the APItextCode INSEE de la commune : Liste des valeurs possibles : 33003 : Ambarès-et-Lagrave 33004 : Ambès 33013 : Artigues-Près-Bordeaux 33032 : Bassens 33039 : Bègles 33056 : Blanquefort 33063 : Bordeaux 33065 : Bouliac 33069 : Le Bouscat 33075 : Bruges 33096 : Carbon-Blanc 33119 : Cenon 33162 : Eysines 33167 : Floirac 33192 : Gradignan 33200 : Le Haillan 33249 : Lormont 33273 : Martignas-sur-Jalle 33281 : Mérignac 33312 : Parempuyre 33318 : Pessac 33376 : Saint-Aubin-de-Médoc 33434 : Saint-Louis-de-Montferrand 33449 : Saint-Médard-en-Jalles 33487 : Saint-Vincent-de-Paul 33519 : Le Taillan-Médoc 33522 : Talence 33550 : Villenave-d'Ornon
cdateFilterable via the APIdatetimeDate de création
mdateFilterable via the APIdatetimeDate de modification
deltaFilterable via the APIdoubleEcart à la température moyenne
dimensionFilterable via the APItextDimension géographique à laquelle se rapporte l'ICU ou l'IFU : Liste des valeurs possibles : COM : Commune BM : Bordeaux Métropole PT : Pôle territorial
date_releveFilterable via the APIDate relevedateDate de relevé des températures

Schema captured from opendatasoft 6 days 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 1gid: 1282761 · cdate: 2025-09-01T16:27:16+00:00
{
  "gid": 1282761,
  "cdate": "2025-09-01T16:27:16+00:00",
  "delta": -4,
  "insee": null,
  "mdate": "2025-09-01T16:27:16+00:00",
  "geom_err": null,
  "dimension": "PT",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -0.8680156,
              44.8595557
            ],
            [
              -0.8679794,
              44.8590177
            ],
            [
              -0.8676014,
              44.8590305
            ],
            [
              -0.8676376,
              44.8595686
            ],
            [
              -0.8680156,
              44.8595557
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "date_releve": "2022-06-17",
  "geo_point_2d": {
    "lat": 44.8592931259948,
    "lon": -0.8678084942124559
  }
}
Record 2gid: 1282762 · cdate: 2025-09-01T16:27:16+00:00
{
  "gid": 1282762,
  "cdate": "2025-09-01T16:27:16+00:00",
  "delta": -3,
  "insee": null,
  "mdate": "2025-09-01T16:27:16+00:00",
  "geom_err": null,
  "dimension": "PT",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -0.8615895,
              44.8597739
            ],
            [
              -0.8615715,
              44.8595049
            ],
            [
              -0.8608154,
              44.8595305
            ],
            [
              -0.8608335,
              44.8597995
            ],
            [
              -0.8615895,
              44.8597739
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "date_releve": "2022-06-17",
  "geo_point_2d": {
    "lat": 44.85965219706854,
    "lon": -0.8612024740102375
  }
}
Record 3gid: 1282969 · cdate: 2025-09-01T16:27:16+00:00
{
  "gid": 1282969,
  "cdate": "2025-09-01T16:27:16+00:00",
  "delta": -5,
  "insee": null,
  "mdate": "2025-09-01T16:27:16+00:00",
  "geom_err": null,
  "dimension": "PT",
  "geo_shape": "[large value omitted]",
  "date_releve": "2022-06-17",
  "geo_point_2d": {
    "lat": 44.83155170140415,
    "lon": -0.8292700813451924
  }
}
Record 4gid: 1282970 · cdate: 2025-09-01T16:27:16+00:00
{
  "gid": 1282970,
  "cdate": "2025-09-01T16:27:16+00:00",
  "delta": -4,
  "insee": null,
  "mdate": "2025-09-01T16:27:16+00:00",
  "geom_err": null,
  "dimension": "PT",
  "geo_shape": "[large value omitted]",
  "date_releve": "2022-06-17",
  "geo_point_2d": {
    "lat": 44.83631757906737,
    "lon": -0.8127790621739807
  }
}
Record 5gid: 1282974 · cdate: 2025-09-01T16:27:16+00:00
{
  "gid": 1282974,
  "cdate": "2025-09-01T16:27:16+00:00",
  "delta": -3,
  "insee": null,
  "mdate": "2025-09-01T16:27:16+00:00",
  "geom_err": null,
  "dimension": "PT",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -0.7340524,
              44.8268208
            ],
            [
              -0.7340001,
              44.8260136
            ],
            [
              -0.7336223,
              44.826026
            ],
            [
              -0.7336746,
              44.8268332
            ],
            [
              -0.7340524,
              44.8268208
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "date_releve": "2022-06-17",
  "geo_point_2d": {
    "lat": 44.8264234,
    "lon": -0.7338373499999996
  }
}

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

Verification Status

Using the API

Configuration

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

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/ri_icu_ifu_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 6 days ago

Dataset

Volume & freshness

Records
97k
96844
Last upstream update
11 months ago
2025-10-14

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Ilot de chaleur ou de fraicheur urbain basé sur l'analyse des températures de surface de 2022 — live verification badge

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.