Skip to main content
SimilarExport ZIP
100%

OCSGE téléchargement IGN flux Atom

✓ Published0🌍 Public
TThomasG77
Last edited May 22, 2025
Created on May 22, 2025

This example visualizes filtered OCSGE land-cover datasets from the French IGN Atom feed, showing only entries for years 2021–2023 while excluding differential (DIFF) updates. It first parses paginated Atom XML responses with Python’s `xml.etree.ElementTree` and HTTP requests via the `requests` library, extracting entry fields into dictionaries. The script then filters those dictionaries based on the `id` string and prints the resulting list, demonstrating a server-driven data-cleaning pipeline for visualization-ready metadata.

AI-generated description

Similar vizzes

Loading thumbnail…

Consommation CSW Observatoire des territoires

This visualization catalogs the datasets available from the French government’s Observatoire des Territoires geospatial service. It displays a table of metadata—titles like “ZRR - Zone de revitalisation rurale” and “QPV - Quartiers prioritaires”—paired with their identifiers and direct URLs. Built with a Python script using the OWSLib library’s `CatalogueServiceWeb`, it queries the CSW endpoint, paginates through records, and exports the results to a CSV. The output is then presented in a Vue.js interface, showing the structured list of available territorial indicators.

TThomasG77
62% match
Loading thumbnail…

Gist 349fc7fda8932252cbcb4ee8a0b605c8

This example tracks the availability and licensing of the French IGN’s BD TOPO® departmental datasets by organizing URLs for both December 2021 and March 2021 releases. It shows a structured index of geographic data files, with each entry linking to a specific departmental Shapefile resource. The visualization uses a data-driven list format, likely rendered with JavaScript’s `fetch` to parse the provided CSV or JSON and display the sorted URLs. It highlights the variation in resource IDs across departments and time periods, emphasizing the dataset’s scope without mapping or spatial rendering.

TThomasG77
61% match
Loading thumbnail…

Lien Adresse et parcelles

This example shows the relationship between French addresses and land parcels, producing flat CSV files per department and for the whole country from the IGN BAN PLUS dataset. The workflow uses a bash pipeline combining Python with `xml.etree.ElementTree` to fix VRT files, GDAL’s `ogr2ogr` and `ogrinfo` for data conversion and indexing, `jq` to parse layer names, and `xsv` to concatenate departmental rows into a nationwide file. Results are gzip-compressed and organized into `france` and `departements` directories.

TThomasG77
60% match
Loading thumbnail…

Gist edaa46d0ee945829befb88a9e719f0e0

This visualization maps the number of certified organic food operators across French administrative departments, using a choropleth-style representation to reveal regional disparities in organic agriculture density. The data is sourced from the Agence Bio public API, which is queried via a shell script that iterates through department codes. The script uses `curl` and `jq` to extract the `nbTotal` count for each department, storing results in a semicolon-delimited text file. The final map likely employs `d3.geoPath` for rendering the department boundaries, with color intensity or a similar visual encoding driven by the fetched counts.

TThomasG77
59% match
Loading thumbnail…

Proxy to IGN actu RSS

This example displays the IGN actu RSS feed by proxying it through a PHP script to bypass CORS restrictions. It visualizes the XML content in a web page, using PHP's `file_get_contents` with SSL context options to securely fetch the remote feed from `https://geoservices.ign.fr/actualites/rss.xml`. The script then echoes the raw XML with a `Content-type: text/xml;charset=UTF-8` header, allowing client-side JavaScript to parse and render the latest geospatial news updates. The visualization relies on the returned RSS structure, with no additional charting or mapping libraries involved.

TThomasG77
59% match
Loading thumbnail…

Gist d64af23db4c1bd6bbacbe72ef137865e

This visualization shows the extraction and tabularization of French Business Tax Service (SIE) locations. It first filters the full public service dataset, downloaded as a JSON tarball via `wget`, using `jq` to select only SIE entries. It then validates the filtered results against the official website's paginated listing, scraped with `pup`. Finally, the code converts the filtered JSON into a simple CSV file using `jq` to output fields like id, name, and postal address, working within the Linux command-line environment.

TThomasG77
58% match
Loading thumbnail…

Gist 2bd25e856943977444bac9a5fd8c6408

This example shows a QGIS workflow for automatically populating the application with WMS, WMTS, and WFS service connections from the French IGN geoservices portal. The script scrapes the portal’s documentation page to find a CSV file containing service metadata, parses it using the `csv` module, and deduplicates entries via Python dictionaries. It then defines functions to add or remove connections in QGIS’s settings using `QgsSettings`, configuring parameters like URLs, versions, and axis orientation. The code demonstrates a practical approach to batch-importing OGC web services into a desktop GIS environment.

TThomasG77
55% match
Loading thumbnail…

OGC WFS consumption URLs from a service

This example demonstrates how to enumerate all downloadable data layers and their available output formats from an OGC Web Feature Service (WFS). Using the `@camptocamp/ogc-client` JavaScript library for the WFS endpoint, it retrieves the service metadata, layer types, and output formats, then constructs a complete GetFeature URL for every layer-format combination. The code also shows a Python equivalent using `OWSLib` to achieve the same enumeration, highlighting the interoperability of the two approaches. The visualization likely presents these generated URLs as a list or table, connecting users directly to data downloads.

TThomasG77
54% match