Secteurs des opérations d'aménagement sur Rennes Métropole
Cette couche de données contient les périmètres de découpage d'une opération d'aménagement (Zone d'Aménagement Concerté, Zones d'Activités et secteurs diffus) en secteurs. Ces secteurs sont des entités géographiques qui peuvent regrouper et contenir un ou plusieurs programmes d'aménagement.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (12 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates of the sector.Geographic centroid coordinates of the sector. |
| — | geo_shapeShape | geo_shape | Geometric polygon outline of the sector's boundary.Geometric polygon outline of the sector's boundary. |
| — | gml_idGml id | text | Unique GML identifier of the sector feature.Unique GML identifier of the sector feature. |
| — | objectid | int | Internal record identifier.Internal record identifier. |
| — | archive | int | Flag indicating whether the record is archived.Flag indicating whether the record is archived. |
| — | date_modifDate modif | datetime | Date and time the record was last modified.Date and time the record was last modified. |
| — | perimetre_geoPerimetre geo | double | Perimeter length of the sector, in meters.Perimeter length of the sector, in meters. |
| — | aire_geoAire geo | double | Surface area of the sector, in square meters.Surface area of the sector, in square meters. |
| — | secteur | text | Name of the development sector.Name of the development sector. |
| — | id_tabouId tabou | int | Identifier linking to the related development operation.Identifier linking to the related development operation. |
| 25.2% | datesig | text | Date the sector boundary was officially signed or approved.Date the sector boundary was officially signed or approved. |
| 4.4% | observation | text | Free-text remarks about the sector.Free-text remarks about the sector. |
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 1gml_id: oa_secteur.965 · archive: 0
{
"gml_id": "oa_secteur.965",
"archive": 0,
"datesig": null,
"secteur": null,
"aire_geo": 1631.83,
"id_tabou": null,
"objectid": 965,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.754210893631132,
48.15211926562769
],
[
-1.753903155193992,
48.152086853668564
],
[
-1.753942502174382,
48.151794118070235
],
[
-1.754002058270569,
48.15179345980671
],
[
-1.754285094308156,
48.15180380277508
],
[
-1.754399809063556,
48.15180791706851
],
[
-1.754580262851602,
48.15182153319831
],
[
-1.754502998263351,
48.15215003018906
],
[
-1.754210893631132,
48.15211926562769
]
]
]
]
},
"properties": {}
},
"date_modif": "2021-11-10T16:59:15+00:00",
"observation": null,
"geo_point_2d": {
"lat": 48.15196038816998,
"lon": -1.7542390810010786
},
"perimetre_geo": 162.41
}Record 2gml_id: oa_secteur.865 · archive: 0
{
"gml_id": "oa_secteur.865",
"archive": 0,
"datesig": null,
"secteur": "Ilot A",
"aire_geo": 1305.06,
"id_tabou": 325,
"objectid": 865,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.856984117535276,
48.177234896888855
],
[
-1.857066034741872,
48.177011360744686
],
[
-1.857731776544381,
48.176987578553735
],
[
-1.857749339883496,
48.17720756094964
],
[
-1.856984117535276,
48.177234896888855
]
]
]
]
},
"properties": {}
},
"date_modif": "2021-11-12T09:41:14+00:00",
"observation": null,
"geo_point_2d": {
"lat": 48.177112918732966,
"lon": -1.8573824443480915
},
"perimetre_geo": 156.65
}Record 3gml_id: oa_secteur.669 · archive: 0
{
"gml_id": "oa_secteur.669",
"archive": 0,
"datesig": null,
"secteur": null,
"aire_geo": 1587.6,
"id_tabou": 816,
"objectid": 669,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.618544879634052,
48.130292832063446
],
[
-1.617464543097968,
48.13056206713626
],
[
-1.617377849406935,
48.13040616607782
],
[
-1.618458133860315,
48.130136805499056
],
[
-1.618544879634052,
48.130292832063446
]
]
]
]
},
"properties": {}
},
"date_modif": "2025-01-20T17:23:15+00:00",
"observation": null,
"geo_point_2d": {
"lat": 48.130349450005816,
"lon": -1.617961421603699
},
"perimetre_geo": 208.61
}Record 4gml_id: oa_secteur.671 · archive: 0
{
"gml_id": "oa_secteur.671",
"archive": 0,
"datesig": null,
"secteur": null,
"aire_geo": 2641.9,
"id_tabou": null,
"objectid": 671,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.618163886825599,
48.128664390139974
],
[
-1.618135246377624,
48.12868940478545
],
[
-1.618105384846946,
48.128713771096166
],
[
-1.618074334968602,
48.12873746236592
],
[
-1.618042130769003,
48.12876045262952
],
[
-1.618008807514705,
48.128782716691966
],
[
-1.617974401755041,
48.12880423015374
],
[
-1.617938951164433,
48.128824969453156
],
[
-1.617902494607812,
48.12884491184579
],
[
-1.617865072039787,
48.12886403548054
],
[
-1.617826724450974,
48.128882319401825
],
[
-1.617738724323865,
48.12892195913946
],
[
-1.617605464569893,
48.128789371250384
],
[
-1.617458225614628,
48.12851526814263
],
[
-1.618227253008222,
48.12828830367247
],
[
-1.618442463159127,
48.128393293696206
],
[
-1.618163886825599,
48.128664390139974
]
]
]
]
},
"properties": {}
},
"date_modif": "2025-01-20T17:34:22+00:00",
"observation": null,
"geo_point_2d": {
"lat": 48.1285782515416,
"lon": -1.6179232524667693
},
"perimetre_geo": 212.05
}Record 5gml_id: oa_secteur.690 · archive: 0
{
"gml_id": "oa_secteur.690",
"archive": 0,
"datesig": null,
"secteur": null,
"aire_geo": 7301.56,
"id_tabou": 812,
"objectid": 690,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.617881307790804,
48.133363277618
],
[
-1.619082360727333,
48.13247547615181
],
[
-1.619467255498111,
48.132851743004466
],
[
-1.618606734983258,
48.13374160540098
],
[
-1.617881307790804,
48.133363277618
]
]
]
]
},
"properties": {}
},
"date_modif": "2022-05-30T10:41:01+00:00",
"observation": null,
"geo_point_2d": {
"lat": 48.13312907446457,
"lon": -1.6187230654333526
},
"perimetre_geo": 370.17
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/secteurs-des-operations-damenagement-sur-rennes-metropole
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/secteurs-des-operations-damenagement-sur-rennes-metropole/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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