Land occupancy agreements for ports and airports owned by the Brittany RegionOccupations domaniales des ports et aéroports appartenant à la région Bretagne
Occupations domaniales des ports et aéroports appartenant à la région BretagneLand occupancy agreements for ports and airports owned by the Brittany Region
This API provides data on land occupancy agreements (occupations domaniales) covering ports and airports owned by the Brittany Region in France. It includes the ports of Brest, Lorient, and Saint-Malo, as well as the airports of Brest, Rennes, Quimper, and Dinard. The dataset is published via the Brittany Region's open data portal and is freely accessible without authentication. It is useful for tracking property and land-use rights held by third parties at these regional transport infrastructures.”}.,Occupations domaniales des ports et aéroports appartenant à la région Bretagne à savoir les ports de Brest, Lorient, Saint Malo et les aéroports de Brest,Rennes, Quimper et Dinard.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (5 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic coordinates (latitude, longitude) of the occupation area centroid.Geographic coordinates (latitude, longitude) of the occupation area centroid. |
| geo_shapeShape | geo_shape | Geometric shape (polygon) outlining the boundary of the occupied domain area.Geometric shape (polygon) outlining the boundary of the occupied domain area. |
| gml_idGml id | text | Unique GML identifier of the geographic feature in the database.Unique GML identifier of the geographic feature in the database. |
| idu | text | Unique identifier code for the domanial occupation parcel.Unique identifier code for the domanial occupation parcel. |
| surface | double | Surface area of the occupied domain, in square metres.Surface area of the occupied domain, in square metres. |
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 1idu: BRP194 · gml_id: bddom.BRP194
{
"idu": "BRP194",
"gml_id": "bddom.BRP194",
"surface": 117342.89,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-4.4402872161786,
48.38751635451477
],
[
-4.440265413430282,
48.38751664250755
],
[
-4.440223229814149,
48.387510983967736
],
[
-4.440186139076189,
48.387497233206496
],
[
-4.438905360616712,
48.38687740572935
],
[
-4.43888111646561,
48.3868623942556
],
[
-4.438864772304812,
48.38684281904222
],
[
-4.438840855403188,
48.38680429135998
],
[
-4.438269855017498,
48.38584717546488
],
[
-4.438276375224699,
48.38584531925477
],
[
-4.438229447546595,
48.38576124836458
],
[
-4.43787880057648,
48.38585253613541
],
[
-4.437854162897096,
48.38585770124371
],
[
-4.437826311842557,
48.385856471716956
],
[
-4.43714508094174,
48.385660134982416
],
[
-4.437123711231073,
48.38565199100988
],
[
-4.437111598870501,
48.38563928836945
],
[
-4.436940945400833,
48.38534955381644
],
[
-4.43694412034976,
48.38534879142633
],
[
-4.436067077690867,
48.383889342070326
],
[
-4.436184184454815,
48.38356903108627
],
[
-4.437244290084065,
48.38284029360465
],
[
-4.437483187284985,
48.38296270986952
],
[
-4.442166413094488,
48.385202647437055
],
[
-4.441482265605804,
48.38583004314867
],
[
-4.441902682861104,
48.38603636164329
],
[
-4.4402872161786,
48.38751635451477
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.38513058762749,
"lon": -4.439051063396476
}
}Record 2idu: SMP222 · gml_id: bddom.SMP222
{
"idu": "SMP222",
"gml_id": "bddom.SMP222",
"surface": 66.209114,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-2.025592208040023,
48.63718601291387
],
[
-2.025535021010716,
48.63716742574127
],
[
-2.025495137542706,
48.637169217403944
],
[
-2.025476927872128,
48.63712967250763
],
[
-2.025513992206292,
48.6371160320186
],
[
-2.025546166463246,
48.637120068199515
],
[
-2.025551393375978,
48.63710186345784
],
[
-2.025596307879948,
48.63710536149842
],
[
-2.025614861956432,
48.63711690964518
],
[
-2.025631649444295,
48.637132257659445
],
[
-2.025592208040023,
48.63718601291387
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.63714170968075,
"lon": -2.0255577488042844
}
}Record 3idu: SMP219 · gml_id: bddom.SMP219
{
"idu": "SMP219",
"gml_id": "bddom.SMP219",
"surface": 1737.686,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-2.00890585339157,
48.6490783817725
],
[
-2.008904923164867,
48.64907070034528
],
[
-2.009113213364041,
48.649064845128756
],
[
-2.009102370250059,
48.64888298259811
],
[
-2.009084445469534,
48.648883394512495
],
[
-2.009082013953418,
48.64878792713346
],
[
-2.008767105879272,
48.64879381661616
],
[
-2.008789899390698,
48.648459615711126
],
[
-2.008561383104723,
48.6484541506898
],
[
-2.008558764230085,
48.648796271939744
],
[
-2.008604430484763,
48.648796895164665
],
[
-2.00862519302816,
48.649021586346315
],
[
-2.008608065038048,
48.6490222215581
],
[
-2.008611978224127,
48.649086639684455
],
[
-2.00890585339157,
48.6490783817725
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.6488269641072,
"lon": -2.008789730623472
}
}Record 4idu: LOP34 · gml_id: bddom.LOP34
{
"idu": "LOP34",
"gml_id": "bddom.LOP34",
"surface": 2819.8213,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-3.362008356075985,
47.73027938119166
],
[
-3.361770948928323,
47.730252841926465
],
[
-3.361486342049961,
47.730220934237046
],
[
-3.361275664548154,
47.7301972903521
],
[
-3.361023590872667,
47.73016902917579
],
[
-3.361068532487498,
47.73000449448333
],
[
-3.361080041026596,
47.72996224791261
],
[
-3.3610930002974,
47.72991461240388
],
[
-3.361105279638139,
47.72986947608831
],
[
-3.361364682020339,
47.72984732702767
],
[
-3.361509231705167,
47.72983502039648
],
[
-3.361515672042001,
47.72983746972468
],
[
-3.361518389034619,
47.72984328592422
],
[
-3.361578263805927,
47.72984723830674
],
[
-3.361818419358146,
47.72986323119902
],
[
-3.361855599463569,
47.72986571487561
],
[
-3.361838076436706,
47.72994585235395
],
[
-3.361929210382231,
47.72995735392792
],
[
-3.36192553304091,
47.72997061714166
],
[
-3.36201763747653,
47.72998100994149
],
[
-3.361993525044127,
47.72999398170299
],
[
-3.362027549563451,
47.729998275725364
],
[
-3.361987324949665,
47.730143356185444
],
[
-3.362085038959223,
47.730155688012914
],
[
-3.362073772476509,
47.730196782049234
],
[
-3.362031799993535,
47.73019239802223
],
[
-3.362008354680187,
47.73027936952892
],
[
-3.362008356075985,
47.73027938119166
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 47.73005156816029,
"lon": -3.3615454968482577
}
}Record 5idu: LOP274 · gml_id: bddom.LOP274
{
"idu": "LOP274",
"gml_id": "bddom.LOP274",
"surface": 1421.2708,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-3.354422200457066,
47.74079855329985
],
[
-3.353260423261382,
47.74117065765747
],
[
-3.353162657199836,
47.74106002802843
],
[
-3.354335772452925,
47.74067678214562
],
[
-3.354422200457066,
47.74079855329985
]
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 47.74092476100206,
"lon": -3.3538001380483373
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.bretagne.bzh/api/explore/v2.1/catalog/datasets/occupations-domaniales-des-ports-et-aeroports-appartenant-a-la-region-bretagne
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.bretagne.bzh/api/explore/v2.1/catalog/datasets/occupations-domaniales-des-ports-et-aeroports-appartenant-a-la-region-bretagne/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
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.