Gist c5b36ec2877ccb9f2988ee8ef64d9a76

Gist 80f99a186a44e6fa1930f2a08618d498

This visualization displays a QGIS project containing world map layers—countries, states, provinces, and disputed borders—from the bundled `world_map.gpkg` GeoPackage, alongside JSON-derived point layers for contributors, hackfests, and user groups. Using the QGIS Python API, the script loads each vector layer via `QgsVectorLayer` with OGR drivers, adds them to the project through `QgsProject.instance().addMapLayers`, and enables a retro canvas style by setting `iface.mapCanvas().setProperty("retro", True)` before refreshing. The example demonstrates procedural map composition from built-in geodata files.

68% match

Europe_test2

This visualization shows a map of Europe with overlaid data points representing altitude measurements across the continent. It uses a conic conformal projection via `d3.geoConicConformal` and `d3.geoPath` to render country boundaries from a GeoJSON file, while circles plotted from a CSV dataset are colored on a quantile scale based on altitude values. An interactive range slider controls altitude filtering, and a button resets the view, with zoom support provided by `d3.zoom`. Hovering reveals country names through a tooltip.

LLaippe

64% match

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.

satellite projection w graticule

This interactive visualization projects a view of Earth from a satellite, centered on Europe and North Africa, with a graticule grid overlaid. It uses `d3.geo.satellite()` to define the projection and renders map data onto a canvas via the StaticCanvasMap. The map displays Natural Earth coastline, Spanish provinces, and urban areas as separate layers, painting features dynamically with the spam library. A marker and label for Madrid are also projected and drawn on the map.

LLuisSevillano

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.

Gist 89bf9a577b15f0a68bb59055eeb415a1

A map of the Paris region displays IGN-F/Geoportail basemap tiles using Leaflet 1.9.2. The code constructs a `L.tileLayer` that requests WMTS tiles from the `wxs.ign.fr` service, specifying the `GEOGRAPHICALGRIDSYSTEMS.PLANIGNV2` layer with a 256-pixel tile size and zoom levels 0–18. Tile coordinates are inserted into the URL via `{z}`, `{y}`, and `{x}` placeholders. The map is centered on coordinates [48.845, 2.424] at zoom 10 using `L.map().setView`.

Gist dbbbf5036a38b2eb912d97805615c7f5

This visualization displays a single choropleth-style map of the Netherlands, showing generalized administrative regions for 2019. It uses a Mercator projection to render geographic boundaries as SVG paths. The code relies on D3.js v3, specifically `d3.geo.mercator` for projection and `d3.geo.path` to draw the shapes, while fetching GeoJSON data from the Dutch national geodata WFS service. The map is rendered on a 1200×500 pixel canvas with no additional styling or interaction.

FFrieseWoudloper