Proxy to IGN actu RSS

OCSGE téléchargement IGN flux Atom

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.

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Un peu laxiste sur les droits

This example demonstrates how an FTP directory from the French IGN geospatial agency can be served over HTTPS by mounting it as a local filesystem. The visualization shows a browsable file listing generated by an Nginx `autoindex` directive, which exposes the contents of a `curlftpfs`-mounted remote FTP server. The code relies on `curlftpfs` to mount the FTP source (`ftp://Iris_GE_ext:…@ftp3.ign.fr`) with `allow_other` and permissive permissions, and on Nginx’s `alias` and `autoindex` to render the directory tree. The interface lists downloadable geospatial datasets (e.g., IRIS-GE shapefiles) without requiring users to install an FTP client.

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Gist 055a86617685691db7632fcb10fb8bc8

This example demonstrates a simulated cross-site scripting (XSS) attack via remote file inclusion, visually rendering a PHP script’s output as an alert dialog that exposes `document.cookie`. The visualization uses a plain HTML page to embed the PHP snippet, with the code directly echoing a `<script>` tag that triggers the alert. It relies on the browser’s native JavaScript execution rather than external libraries, showing the raw mechanism of injecting client-side code through a server-side include. The rendering approach is minimal, presenting the source code and its resulting runtime behavior side by side.

PPeleke

IGN API elevation line

This example shows elevation profiles extracted from a user-selected line feature in QGIS. It calls the IGN REST elevationLine API with sampled lon/lat coordinates, then builds a GeoJSON FeatureCollection of 3D points with elevation (z) and accuracy values. The script uses `urllib.request` to fetch JSON data and `json.dump` to write a temporary GeoJSON file, which QGIS then loads as a vector layer. Users subsequently convert to a projected CRS and apply the Profile tool plugin to render the elevation graph.

Get IGN legends for WMS Raster, WMS Vecteur and WMTS webservices

This example visualizes the availability of legends for IGN web services, specifically WMS Raster, WMS Vecteur, and WMTS layers. It shows that 241 out of 598 services have retrievable legend images, while 357 do not. The code downloads a CSV of service metadata from the IGN geoportal, then probes a guessed URL pattern on the geoportail.gouv.fr domain for each layer's legend image using `curl`. Successful results are compiled into an augmented CSV and JSON file, with the legend images stored locally.

Sitio que sigo por RSS

This visualization displays a personal list of RSS feeds, showing each blog as a floating node connected to a central hub. It uses d3.forceSimulation to position the nodes and SVG elements to render them, with the site names and URLs parsed from the markdown file. The layout reveals the author’s curated collection of JavaScript and web development resources, including notes on inactive or recommended sites.

DDanielAguirre

Gist fdd290466b27483228fe90a7c3921f15

This example downloads UK weather warning data from the Met Office’s live GeoJSON feed by scraping the page’s embedded `window.metoffice.warnings.geojson` variable with a shell script. It uses `curl` with the current date to fetch the JSON, then formats the output for further processing. The visualization itself is not shown in the provided code, but the script prepares geospatial alert polygons for subsequent rendering, likely with a mapping library such as D3’s `d3.geoPath` or Leaflet. The data source is the Met Office’s official warnings API, captured daily for time-series analysis.

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