SCoT - Champs urbains définis par le SCoT du Pays de Rennes
Cette couche de polygones permet de représenter les champs urbains sur la carte du DOO du SCoT. Les « champs urbains » sont des espaces agronaturels et/ou forestiers, qui ont vocation à le rester durablement. ils constituent des ensembles de qualité à forts enjeux agricoles, paysagers et environn...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates of the urban field polygon.Geographic centroid coordinates of the urban field polygon. |
| geo_shapeShape | geo_shape | Polygon geometry outlining the urban field boundary.Polygon geometry outlining the urban field boundary. |
| gml_idGml id | text | Unique GML identifier of the feature.Unique GML identifier of the feature. |
| objectid | int | Internal record identifier.Internal record identifier. |
| libelle | text | Name of the urban field area.Name of the urban field area. |
| hectares | int | Area of the urban field, rounded to whole hectares.Area of the urban field, rounded to whole hectares. |
| hectares2 | double | Precise area of the urban field in hectares.Precise area of the urban field in hectares. |
| ha2015 | double | Area of the urban field in hectares, as measured in 2015.Area of the urban field in hectares, as measured in 2015. |
| st_area_shapeSt area shape | double | Area of the polygon geometry in square meters.Area of the polygon geometry in square meters. |
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: pdr_champ_urbain.2 · ha2015: 108.32730111
{
"gml_id": "pdr_champ_urbain.2",
"ha2015": 108.32730111,
"libelle": "PONT LAGOT",
"hectares": 108,
"objectid": 2,
"geo_shape": "[large value omitted]",
"hectares2": 108.32730111,
"geo_point_2d": {
"lat": 48.11622364633998,
"lon": -1.7366037982164848
},
"st_area_shape": 1083273.01114117
}Record 2gml_id: pdr_champ_urbain.6 · ha2015: 220.25593575
{
"gml_id": "pdr_champ_urbain.6",
"ha2015": 220.25593575,
"libelle": "BOIS DE GERVIS",
"hectares": 220,
"objectid": 6,
"geo_shape": "[large value omitted]",
"hectares2": 220.25593575,
"geo_point_2d": {
"lat": 48.06932629532177,
"lon": -1.506695421396089
},
"st_area_shape": 2202559.35746779
}Record 3gml_id: pdr_champ_urbain.10 · ha2015: 657.88769795
{
"gml_id": "pdr_champ_urbain.10",
"ha2015": 657.88769795,
"libelle": "VILAINE AVAL",
"hectares": 658,
"objectid": 10,
"geo_shape": "[large value omitted]",
"hectares2": 657.88769795,
"geo_point_2d": {
"lat": 48.04612700419993,
"lon": -1.7720176387823814
},
"st_area_shape": 6578876.9794586
}Record 4gml_id: pdr_champ_urbain.17 · ha2015: 434.17834954
{
"gml_id": "pdr_champ_urbain.17",
"ha2015": 434.17834954,
"libelle": "CANAL D'ILLE",
"hectares": 435,
"objectid": 17,
"geo_shape": "[large value omitted]",
"hectares2": 434.17834954,
"geo_point_2d": {
"lat": 48.16243400033465,
"lon": -1.6564822529388554
},
"st_area_shape": 4341783.49537155
}Record 5gml_id: pdr_champ_urbain.14 · ha2015: 523.4526608
{
"gml_id": "pdr_champ_urbain.14",
"ha2015": 523.4526608,
"libelle": "SEICHE-LORMANDIERE",
"hectares": 512,
"objectid": 14,
"geo_shape": "[large value omitted]",
"hectares2": 512.40753555,
"geo_point_2d": {
"lat": 48.03425022660769,
"lon": -1.716473515597881
},
"st_area_shape": 5234526.60797142
}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/scot-champs-urbains-definis-par-le-scot-du-pays-de-rennes
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/scot-champs-urbains-definis-par-le-scot-du-pays-de-rennes/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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