Récupération geolocalisation EHPAD 57

100%

Récupération geolocalisation EHPAD 57

✓ Published0🌍 Public

Last edited Jul 18, 2025

Created on Jul 18, 2025

This example visualizes the geographic distribution of EHPAD (nursing homes) in the Moselle department (57) of France, displaying each facility as a point on a map. The data is retrieved from a public government API and converted to GeoJSON format using `jq` command-line tools for filtering and restructuring. The visualization is built with the Vue framework, rendering the geographic points to show facility locations, with additional property information such as name, city, and legal status included for reference. The map uses standard GeoJSON `Point` features to represent each facility's coordinates.

AI-generated description

Récupération geolocalisation EHPAD 57

Depuis le site https://www.pour-les-personnes-agees.gouv.fr/annuaire-ehpad-et-comparateur-de-prix-et-restes-a-charge/moselle-57, on a retrouvé la référence à l'API pour récupérer la donnée pour ce cas particulier

wget -O ehpad-57.json https://www.pour-les-personnes-agees.gouv.fr/api/v1/annuaire/heb?dept_numero=57

jq '.[].item | {"type": "Feature","properties": {"title": .title, "noFinesset": .noFinesset, "legal_staus": .legal_status, "postcode": .coordinates.postcode, "street": .coordinates.street, "codeinsee": .coordinates.codeinsee, "city": .coordinates.city}, "geometry": {"coordinates": [(.coordinates.longitude|tonumber), (.coordinates.latitude|tonumber)], "type": "Point"}}' ehpad-57.json | jq --slurp '{"type": "FeatureCollection", "features": .}' >| ehpad-57.geojson
``

Similar vizzes

Loading thumbnail…

Gist 516c27edc013850e5fa703af9f9c0f03

This interactive visualization maps French EPCI administrative units using a force-directed layout, showing clusters of communes grouped by their intercommunality category. It uses d3.forceSimulation to position nodes representing each EPCI, with the underlying geoJSON data from the epci2020 file providing the administrative codes and names. The rendering translates the simulated node positions into geographic coordinates, allowing users to see the spatial distribution of these administrative groupings across France.

TThomasG77

70% match

Loading thumbnail…

Gist c8b3e33ae90180e985646e1ef4876dfe

This example demonstrates how to convert tabular JSON data containing longitude and latitude fields into a GeoJSON FeatureCollection using the command-line tool jq, making it ready for map-based visualization. The dataset covers digital mediation locations in the Auvergne-Rhône-Alpes region of France, sourced from data.gouv.fr. The transformation maps each original record into a GeoJSON Feature, preserving properties like name, address, services, and accessibility conditions, while constructing Point geometry from the coordinate pair. The code includes a preview image showing the resulting spatial distribution of these locations, though the visualization itself uses no specific JavaScript mapping library or framework beyond the jq conversion process.

TThomasG77

69% match

Loading thumbnail…

Gist e6f4c2723682e0180ff0bbf59f417beb

This interactive map of French dams displays their locations as points across the country, with each point linking to a detailed information page. The visualization is built from a GeoJSON FeatureCollection of dam properties, including height, reservoir volume, river, and owner. The data was cleaned and enriched using shell scripting and the `jq` command-line tool, with the final map likely rendered using a library such as Leaflet or Mapbox. The code shows the use of `ogrinfo` and `ogr2ogr` for geospatial data processing and SQL queries to transform the attributes.

TThomasG77

67% match

Loading thumbnail…

Récupération des stations quotidiennes depuis les données Météo France

This visualization maps the locations and operational periods of daily weather stations across France, using data from Météo France. The map depicts each station as a point, colored or sized to indicate when it was active. The example retrieves station URLs from the data.gouv.fr API, filters for rainfall, temperature, and wind data, then uses pandas to concatenate CSVs and compute the earliest and latest observation dates per station. The resulting dataset is converted into a GeoJSON file with geopandas, with geometries created from latitude and longitude coordinates.

TThomasG77

67% match

Loading thumbnail…

Gist f1a627d4af91444f3fcaea66c62c8319

A Leaflet map centered on France displays a circular buffer polygon around a point at coordinates (2.18, 46). The example uses proj4js and the reproject library to convert the point from WGS84 to EPSG:3857, then applies jsts.io.GeoJSONReader to read the geometry and create a 40,000-meter buffer via the jsts buffer method. After writing the buffered geometry back to GeoJSON, it reprojects to WGS84 and renders the result as a Leaflet GeoJSON layer on OpenStreetMap tiles, with a scale control and a marker at (0,0).

TThomasG77

66% match

Loading thumbnail…

Gist b3d6991a9d7ab3de6f7f13e7ed38e097

This map shows the municipal arrondissements of Lyon and Marseille in France, with each district colored according to its population. The visualization loads GeoJSON data describing the polygon boundaries of each arrondissement and uses the ogr2ogr library to convert the shapefile data. The interactive display, viewed through GeoJSON.io, renders the geographic features using standard web mapping tools and displays the population values stored in each polygon's properties when the user clicks or hovers over a district.

TThomasG77

66% match

Loading thumbnail…

Depuis https://archeologie.culture.gouv.fr/fr

This visualization maps archaeological sites from the French Ministry of Culture's portal, presenting them as geographic points. The map is built with Vue, using GeoJSON data for site locations. Each data point is a clickable feature, with properties like title and description stored in the GeoJSON, and rendered using a mapping library that handles the geographic coordinates. The visualization shows the geographical distribution of French archaeological missions across the world, from the Île de Saï in Sudan to archaeological sites in Afghanistan.

TThomasG77

65% match

Loading thumbnail…

Suivi avancement LIDAR copie de https://macarte.ign.fr/carte/322ea69dab4c7e5afabc6ec7043b5994/acquisitionslidarhd

This choropleth map displays the progress of LIDAR HD acquisitions across the French national territory, with each polygon representing a survey block and its color indicating the completion percentage. Built with Vue, the visualization fetches GeoJSON data from an IGN web service, converts it from EPSG:3857 to EPSG:4326 using ogr2ogr, and renders the polygons with varying fill intensities to encode the "pourcentag" attribute. The underlying geospatial processing involves jq to parse nested JSON structures, while the frontend directly visualizes the FeatureCollection without additional map libraries.

TThomasG77

65% match