Register record·API·FRSTALE · checked 3d ago
E
Boundaries of ecological compensation zones managed by Bordeaux MétropoleEmprises des zones de compensation écologiques portées par Bordeaux Métropole
Emprises des zones de compensation écologiques portées par Bordeaux MétropoleBoundaries of ecological compensation zones managed by Bordeaux Métropole
This API provides, as polygon geometries, the ecological compensation zones located within the territory of Bordeaux Métropole in France. Ecological compensation areas are designated to offset environmental impacts from development projects. The dataset is published through the Bordeaux Métropole open data portal and is also available for download in AutoCAD DWG format, in addition to standard geographic formats. It is primarily useful for urban planning, environmental impact assessment, and land-use analysis within the metropolitan area.Dictionnaire Public Ce jeu de données représente sous forme de polygone les zones de compensation écologiques du territoire de Bordeaux Métropole. Ce jeu de données est disponible dans un format additionnel : Téléchargement au format AutoCAD DWG
environment
Trust score
How is this computed?35
poor
Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Filterable via the API (7)
gidcdatemdatelibelletypeetatgeom_err
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates of the ecological compensation zone.Geographic centroid coordinates of the ecological compensation zone. |
| geo_shapeShape | geo_shape | Polygon geometry outlining the ecological compensation zone.Polygon geometry outlining the ecological compensation zone. |
| gid | int | Primary key identifier for the record.Clé primaire |
| cdate | datetime | Date and time the record was created.Date de création |
| mdate | datetime | Date and time the record was last modified.Date de modification |
| libelle | text | Name or label of the compensation zone.Libellé |
| type | text | Category of compensation: species and wetlands, species only, or wetlands only.Type : Liste des valeurs possibles : E_ZH : Espèces et zones humides E : Espèces ZH : Zones humides |
| etat | text | Status of the compensation: effective, land reserve, under administrative validation, or under developer validation.Etat : Liste des valeurs possibles : EFFECTIVE : Compensation effective RESERVE : Réserve foncière compensatoire EN_COURS : Compensation en cours de validation administrative INV : Compensation en cours de validation aménageur |
| geom_errGeom err | text | Code indicating a geometric error detected in the shape, if any.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 |
Schema captured from opendatasoft 3 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: 115 · etat: EN_COURS
{
"gid": 115,
"etat": "EN_COURS",
"type": "ZH",
"cdate": "2023-05-11T08:43:32+00:00",
"mdate": "2023-05-11T08:43:32+00:00",
"libelle": "EPA Euratlantique - Souys",
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.5485979,
44.8325884
],
[
-0.5487519,
44.8324387
],
[
-0.5487,
44.8323935
],
[
-0.5486654,
44.8323701
],
[
-0.5486376,
44.8323503
],
[
-0.5486137,
44.8323325
],
[
-0.5485441,
44.8322492
],
[
-0.5485077,
44.8322217
],
[
-0.5484541,
44.8321991
],
[
-0.5483848,
44.8321845
],
[
-0.5483073,
44.8321837
],
[
-0.5482579,
44.8321922
],
[
-0.5481504,
44.8321619
],
[
-0.5480696,
44.8321263
],
[
-0.5480308,
44.8321157
],
[
-0.5479699,
44.8321353
],
[
-0.5479511,
44.8321727
],
[
-0.5479777,
44.8322186
],
[
-0.5480034,
44.8322799
],
[
-0.548006,
44.8322814
],
[
-0.5485979,
44.8325884
]
],
[
[
-0.5485799,
44.8324949
],
[
-0.5485598,
44.8324942
],
[
-0.548545,
44.8324909
],
[
-0.5485153,
44.8324757
],
[
-0.5484919,
44.8324659
],
[
-0.548422,
44.8324499
],
[
-0.5483738,
44.8324344
],
[
-0.5483279,
44.8324139
],
[
-0.5482791,
44.8323889
],
[
-0.5482529,
44.8323569
],
[
-0.5482329,
44.8323309
],
[
-0.5482255,
44.8323167
],
[
-0.5482309,
44.8323039
],
[
-0.5482439,
44.8323019
],
[
-0.5482919,
44.8322999
],
[
-0.5483359,
44.8323109
],
[
-0.5483836,
44.832328
],
[
-0.548412,
44.8323543
],
[
-0.5484418,
44.8323823
],
[
-0.5484989,
44.8323999
],
[
-0.5485249,
44.8324169
],
[
-0.548549,
44.8324349
],
[
-0.5485819,
44.8324539
],
[
-0.548603,
44.8324599
],
[
-0.5486229,
44.8324649
],
[
-0.5486205,
44.8324868
],
[
-0.5485799,
44.8324949
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.83232168757242,
"lon": -0.5483562447939389
}
}Record 2gid: 113 · etat: EN_COURS
{
"gid": 113,
"etat": "EN_COURS",
"type": "ZH",
"cdate": "2023-05-11T08:43:32+00:00",
"mdate": "2023-05-11T08:43:32+00:00",
"libelle": "EPA Euratlantique - Souys",
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.5506641,
44.8332304
],
[
-0.5507063,
44.8331728
],
[
-0.5499486,
44.8327998
],
[
-0.5494576,
44.8325725
],
[
-0.5490085,
44.8323438
],
[
-0.5488755,
44.8322973
],
[
-0.548637,
44.8321525
],
[
-0.5478792,
44.8318594
],
[
-0.5475241,
44.8317256
],
[
-0.5466285,
44.8313081
],
[
-0.5464319,
44.8312618
],
[
-0.5462017,
44.8312093
],
[
-0.5459745,
44.8311639
],
[
-0.5454596,
44.8309609
],
[
-0.5450521,
44.8307653
],
[
-0.5441779,
44.8303217
],
[
-0.5433943,
44.8299223
],
[
-0.5423583,
44.8293786
],
[
-0.5419439,
44.8291524
],
[
-0.5411623,
44.8287221
],
[
-0.5408551,
44.8285396
],
[
-0.5405915,
44.8283612
],
[
-0.5403479,
44.8282366
],
[
-0.5401251,
44.8280986
],
[
-0.5398273,
44.8279032
],
[
-0.5394367,
44.8276907
],
[
-0.5391668,
44.8275227
],
[
-0.5391052,
44.8275776
],
[
-0.5396484,
44.8279061
],
[
-0.5402311,
44.828234
],
[
-0.5408167,
44.8285871
],
[
-0.5413705,
44.8288914
],
[
-0.5420006,
44.8292631
],
[
-0.5424621,
44.8295394
],
[
-0.5433485,
44.8300135
],
[
-0.5440599,
44.8303509
],
[
-0.5444908,
44.8306046
],
[
-0.5448895,
44.8308241
],
[
-0.5457326,
44.8312578
],
[
-0.5461095,
44.8314544
],
[
-0.5462389,
44.8314348
],
[
-0.5463988,
44.8313426
],
[
-0.5465548,
44.831392
],
[
-0.5471972,
44.8316744
],
[
-0.5475216,
44.8318472
],
[
-0.5479683,
44.8320379
],
[
-0.5482576,
44.8321393
],
[
-0.5484869,
44.8322172
],
[
-0.5492901,
44.8325652
],
[
-0.5496065,
44.832711
],
[
-0.5502343,
44.8330047
],
[
-0.5506641,
44.8332304
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.830694778501346,
"lon": -0.5451249327550156
}
}Record 3gid: 4 · etat: EFFECTIVE
{
"gid": 4,
"etat": "EFFECTIVE",
"type": "E_ZH",
"cdate": "2023-05-11T08:43:32+00:00",
"mdate": "2023-05-11T08:43:32+00:00",
"libelle": "OIM BIC",
"geom_err": null,
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 44.778669687563294,
"lon": -0.6259408681920018
}
}Record 4gid: 107 · etat: EN_COURS
{
"gid": 107,
"etat": "EN_COURS",
"type": "ZH",
"cdate": "2023-05-11T08:43:32+00:00",
"mdate": "2023-05-11T08:43:32+00:00",
"libelle": "EPA Euratlantique - Souys",
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.544342,
44.8367388
],
[
-0.5442019,
44.8367646
],
[
-0.5441045,
44.836784
],
[
-0.543897,
44.8368701
],
[
-0.5437877,
44.8369074
],
[
-0.5437304,
44.8369226
],
[
-0.5436909,
44.8369311
],
[
-0.5435705,
44.8369678
],
[
-0.5434962,
44.8369787
],
[
-0.5434246,
44.8369997
],
[
-0.5434474,
44.8370305
],
[
-0.5435392,
44.8370445
],
[
-0.5437907,
44.8369877
],
[
-0.5440242,
44.8369247
],
[
-0.5442609,
44.8368343
],
[
-0.5443679,
44.8367617
],
[
-0.5443855,
44.8367373
],
[
-0.544342,
44.8367388
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.83689855369829,
"lon": -0.54392107752334
}
}Record 5gid: 21 · etat: EFFECTIVE
{
"gid": 21,
"etat": "EFFECTIVE",
"type": "E_ZH",
"cdate": "2023-05-11T08:43:32+00:00",
"mdate": "2023-05-11T08:43:32+00:00",
"libelle": "Déviation du Taillan Médoc",
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.7107383,
44.9080729
],
[
-0.709762,
44.9086341
],
[
-0.7102985,
44.9089358
],
[
-0.7110224,
44.9081901
],
[
-0.7113605,
44.9078387
],
[
-0.7109351,
44.9078235
],
[
-0.7107383,
44.9080729
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.90838551501146,
"lon": -0.7105413922882909
}
}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/ec_compensation_s
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/ec_compensation_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
50 000 req/day
per ipmeasured
observed 3 days ago
Dataset
Volume & freshness
Records
158
Last upstream update
3 days ago
2026-10-21
License
No license declared upstream.
○ Documentation○ Data dictionary○ Versioning
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.