GeoZones

Description

Simple geospatial and administrative repository. This dataset is built from the Official Geographic Code of INSEE, available via their [SparQL interface] (https://rdf.insee.fr/sparql/). ## Model There are two types of objects: - levels - areas ### Zones The file `Zones {year} (json)` is constructed from data extracted from the COG and contains, for all geographical scales, the following information: - uri: Entity URI in INSEE RDF graph (example: "http://id.insee.fr/geo/arrondissement/6eeefa75-7352-48ee-884f-64783b8ca290"), - name: name of the entity (example: "Lyon"), - INSEE code: INSEE code of the entity (example: "691"), - nameWithoutArticle: name without article of the entity (example: "Lyon"), - codeArticle: Entity item code (example: "0"), - type: type of entity (example: "Arrondissement"), - is_deleted: boolean indicating whether the entity has been administratively deleted (example: true), - level: level of scale of the entity (example: "fr:arrondissement"), - _id: full identifier used by data.gouv.fr (example: "fr:arrondissement:691") The `Countries only zones {year} (json)` file is a sample of the global `Countries only zones {year} (json)` file which contains only the countries. ### Levels/Levels The file contains the different possible scale levels, with the following information: - id: entity level of scale, which corresponds to the ‘level’ field in the Zones file (example: "en:region"), - label: naming the scale level (example: "French region"), - admin_level: Scale level code (example: 40), - parents: directly higher level(s) of scale (example: ["country"]) ## Construction This dataset is built from the INSEE COG via a python script available [here] (https://github.com/etalab/datagouvfr_data_pipelines/tree/main/data_processing/geozones). ## History - **30/04/2015**: first version - **15/04/2016**: addition of the URLs of the coats of arms/flags and an export using [msgpack](http://msgpack.org/) in order to reduce the size of the generated archive - **19/04/2016**: correction version providing a finer cut of the shapes of the municipalities - **09/06/2016**: correction version adding the parents for the municipalities of Corsica/DROM-COM and calculating the population for the districts - **15/06/2017**: version including data from [GeoHisto](https://github.com/etalab/geohisto) and using [GeoIDs](https://github.com/etalab/geoids), integrates 2017 data (COG, OSM). - **28/08/2017**: Added EPCI history from [GeoHisto](https://github.com/etalab/geohisto). - **08/05/2019**: Switching to COG 2019, bug fixing, adding the "geonames" key, switching to Wikidata, cantons and iris are no longer exported - **30/11/2023**: The data comes from the INSEE COG from their SparQL interface ## Archives ### Levels/Levels They make it possible to model the different known levels of the referential and their theoretical relationships. Their name is translatable. ### Zones A zone is the association of a unique identifier with a geographical polygon, a level and a name. It has less than one unique code for the level. It may have several known identifiers, which are not necessarily unique. The name is optionally translatable (*ex:* European Union, World) The following attributes are exported to the GeoJSON: - **id**: A unique identifier following the specification [GeoID](https://github.com/etalab/geoids) - **code**: The unique identifier for a given date of the zone for its level - **level**: The identifier of the level of attachment - **name**: The display name of the area in English *(may be translated)* - **population**: Approximate/estimated population *(optional)* - **area**: Estimated/approximate area in km2 *(optional)* - **wikidata**: The associated Wikidata node *(optional)* - **wikipedia**: A reference to Wikipedia *(optional)* - **dbpedia**: A reference to DBPedia *(optional)* - **flag**: A reference to the DBPedia flag *(optional)* - **blazon**: A reference to the DBPedia blazon *(optional)* - **keys**: a dictionary of the different codes known for this area - **parents**: an unordered list of the identifiers of the different known parents - **ancestors**: the list of possible ancestors - **successful**: the list of possible successors - **validity**: a period of validity (object with the attributes ‘start’/‘end’) *(optional)* ## Construction This dataset is built with the tool [GeoZones](https://www.data.gouv.fr/en/reuses/geozones/) whose code is [published on Github](https://github.com/etalab/geozones). You can find the [detail of French specificities] (https://github.com/etalab/geozones/blob/master/LISEZMOI.md) on the repository. ## Possible future improvements ### Fields - Overall weight = f(population, area, level) ### Deliverables - Various clarifications - Localized JSON (in English only for now) - Translations in JSON (as a hard alternative to the current PO/MO format) - Level statistics (number of zones, coverage of attributes...)

Resources

Name Format Description Link
0 https://www.data.gouv.fr/fr/datasets/r/62b051f2-36e5-46d1-baff-417d2c04bc69
0 https://www.data.gouv.fr/fr/datasets/r/361841d7-4647-4e1b-ad7b-4f4c53512b55
23 https://www.data.gouv.fr/fr/datasets/r/e0206442-78b3-4a00-b71c-c065d20561c8
23 https://www.data.gouv.fr/fr/datasets/r/c6e2dc0a-3d72-43cc-97f5-392cb80bd61f
0 https://www.data.gouv.fr/fr/datasets/r/4ec9e77d-572a-40f9-9940-ade023ce8b78
0 https://www.data.gouv.fr/fr/datasets/r/48aed8bc-679b-41a2-80ec-4611d61ca6b9
0 https://www.data.gouv.fr/fr/datasets/r/c1052b17-8c64-4ee7-a856-59081505c1a9
0 https://www.data.gouv.fr/fr/datasets/r/a833afb4-658f-4756-9021-a520c1f9c7a3
23 https://www.data.gouv.fr/fr/datasets/r/a1bb263a-6cc7-4871-ab4f-2470235a67bf
0 https://www.data.gouv.fr/fr/datasets/r/eccf0cc4-c4c4-4c05-8195-2ce1374ac9f6
0 https://www.data.gouv.fr/fr/datasets/r/57b0baff-200b-4512-81ad-6dbe1dc1e6b1
0 https://www.data.gouv.fr/fr/datasets/r/3c6acb3b-d1af-4c6b-95c7-b776ab6f2ae2

Tags

  • communes
  • pays
  • cantons
  • epci
  • iris
  • arrondissements
  • geojson
  • contours
  • regions

Topics

Categories