Clay Shrink-Swell HazardAléa retrait/gonflement des argiles
Aléa retrait/gonflement des argilesClay Shrink-Swell Hazard
This dataset provides polygon features mapping the hazard level of clay shrinkage and swelling across the Gironde department in France. It is published as part of the Bordeaux Métropole open data portal and maintained with input from the Bureau de recherches géologiques et minières (BRGM), the French geological survey. The dataset is also available in an additional format for download as AutoCAD DWG files, making it usable in geographic information systems and computer-aided design tools for land-use planning, construction risk assessment, and geotechnical studies related to soil movement caused by clay volume changes.Dictionnaire Public Ce jeu de données présente, sous la forme d'objets surfaciques, les risques d'aléa retrait/gonflement des argiles sur le territoire Girondin. Ce jeu de données est disponible dans un format additionnel : Téléchargement au format AutoCAD DWG
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (8 fields)
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 |
| ident | text | Identifiant |
| cdate | datetime | Date de création |
| mdate | datetime | Date de modification |
| alea | text | Aléa : Liste des valeurs possibles : FAIBLE : Faible MOYEN : Moyen FORT : Fort |
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: 42 · alea: FORT
{
"gid": 42,
"alea": "FORT",
"cdate": "2026-08-14T08:15:42+00:00",
"ident": "RGA_079687_33550",
"mdate": "2026-08-14T08:15:42+00:00",
"geom_err": null,
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 44.78352609832691,
"lon": -0.5892727972265523
}
}Record 2gid: 43 · alea: FORT
{
"gid": 43,
"alea": "FORT",
"cdate": "2026-08-14T08:15:42+00:00",
"ident": "RGA_079687_33192",
"mdate": "2026-08-14T08:15:42+00:00",
"geom_err": null,
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 44.77590070742878,
"lon": -0.6194465935068677
}
}Record 3gid: 90 · alea: MOYEN
{
"gid": 90,
"alea": "MOYEN",
"cdate": "2026-08-14T08:15:42+00:00",
"ident": "RGA_033667_33312",
"mdate": "2026-08-14T08:15:42+00:00",
"geom_err": null,
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 44.954356800991135,
"lon": -0.5791982107211542
}
}Record 4gid: 11 · alea: MOYEN
{
"gid": 11,
"alea": "MOYEN",
"cdate": "2026-08-14T08:15:42+00:00",
"ident": "RGA_120563_33056",
"mdate": "2026-08-14T08:15:42+00:00",
"geom_err": null,
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 44.91343157999726,
"lon": -0.6305152921197319
}
}Record 5gid: 75 · alea: MOYEN
{
"gid": 75,
"alea": "MOYEN",
"cdate": "2026-08-14T08:15:42+00:00",
"ident": "RGA_053516_33249",
"mdate": "2026-08-14T08:15:42+00:00",
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-0.494412,
44.8821179
],
[
-0.4943297,
44.8820526
],
[
-0.4941815,
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],
[
-0.4940479,
44.882618
],
[
-0.4943035,
44.8824829
],
[
-0.4943153,
44.8824954
],
[
-0.4944555,
44.8826451
],
[
-0.4946067,
44.8828068
],
[
-0.4947893,
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],
[
-0.4957025,
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],
[
-0.4957405,
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],
[
-0.4959385,
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],
[
-0.4959998,
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],
[
-0.4959972,
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],
[
-0.4959239,
44.8842386
],
[
-0.4960936,
44.8843941
],
[
-0.4963295,
44.8846166
],
[
-0.4964507,
44.8847233
],
[
-0.496546,
44.8848083
],
[
-0.496618,
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],
[
-0.496691,
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],
[
-0.4968754,
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],
[
-0.4969137,
44.8850517
],
[
-0.4970399,
44.8850049
],
[
-0.497269,
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],
[
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],
[
-0.4980999,
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],
[
-0.499039,
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],
[
-0.4992709,
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
-0.5014449,
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],
[
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],
[
-0.5021409,
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],
[
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],
[
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],
[
-0.5025319,
44.8831979
],
[
-0.5016119,
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],
[
-0.5006889,
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],
[
-0.5004769,
44.8829559
],
[
-0.5002799,
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],
[
-0.4993669,
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],
[
-0.4983919,
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],
[
-0.497383,
44.8822139
],
[
-0.4964569,
44.8823679
],
[
-0.4955279,
44.8824409
],
[
-0.495185,
44.8824129
],
[
-0.4948649,
44.8823209
],
[
-0.494412,
44.8821179
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.88360317901161,
"lon": -0.4983469827276629
}
}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_alearga_s
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/ri_alearga_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.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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