Gist 3b609858c3d3d4fa3e9a

Gist 09dc3605fda7e3165781

This visualization maps wildfire incidents across New South Wales using a GeoJSON dataset, plotting each fire as a point on a geographic canvas. It encodes each incident’s location, alert level, and status through colored markers, with hover interactions likely revealing details like size and council area. The code uses D3’s `d3.geoPath` to project boundaries and a custom force-directed layout to prevent overlapping labels. It also leverages Canvas pixel analysis via `getImageData` to detect and avoid collisions, ensuring readable annotations. Data comes from the provided GeoJSON file, rendered dynamically with D3’s event handling.

94% match

Gist 6735f16486b5a6d38f99

This visualization maps current wildfire incidents across New South Wales, using GeoJSON data from the RFS. It renders each fire as a point on a geographic backdrop, with symbols encoding alert level and status. The map is drawn with D3’s `d3.geoPath` for vector tiles, while the interactive tooltip relies on D3’s event handling and DOM manipulation. Point positions come directly from the GeoJSON coordinates, and size or color encodes reported fire size in hectares, with a legend clarifying the categories. The visualization updates dynamically from the live incident feed, providing a real-time snapshot of active hazard reductions and forest fires.

Gist 2d8b386a09c41fa28e3f

This visualization maps wildfire incidents across New South Wales using a GeoJSON dataset of fire points. It shows the spatial distribution of active fires, with each point colored by alert level (Advice) and sized by reported area. The map is rendered using Leaflet.js with custom circle markers positioned via geographic coordinates, while tooltips display fire details such as location, council area, and responsible agency. The visualization relies on the `d3.geoPath` projection to place markers, and the underlying data comes from the NSW Rural Fire Service feed.

Gist 0c13c9decf2cc5a3bf2c

This visualization maps bushfire locations across New South Wales as point features from a GeoJSON feed, using the D3.js library to project and draw the data. It renders the fire incidents as small circles positioned by their coordinates through a `d3.geoPath`-compatible projection, with each point colored or styled according to its alert level and status. The underlying dataset comes from the NSW Rural Fire Service’s public feed, and the code likely uses D3’s data join and enter/update/exit pattern to bind the GeoJSON features, though the visualization focuses on static spatial distribution rather than animation or interaction.

Gist 3060ec09509bc85a58aa

This visualization maps the geographic distribution and response types of New South Wales Rural Fire Service incidents, using a color-coded point layer to show fire types such as motor vehicle accidents, forest fires, and hazard reductions. The map is rendered with D3.js, using `d3.forceSimulation` for label placement and `d3.geoPath` to draw the state’s boundaries from GeoJSON data. A time-series brush below the map filters incidents by date, while hovering over individual points reveals the fire type via tooltip, with the dataset sourced from a static JSON file of incident records.

Gist 9991179

This visualization uses the D3.js library to render a live map of current fire incidents across New South Wales, Australia, plotting each incident as a point on a geographic projection. It shows the spatial distribution of fires, with each point colored or styled to reflect its alert level or status. The code relies on `d3.forceSimulation` for layout and `d3.geoPath` to draw the map boundaries, while the underlying incident data comes from the provided GeoJSON file, which includes properties like fire type, council area, and responsible agency. The map updates dynamically to reflect the current incident data.

Gist ff1df942a170f1ec9f31

This visualization maps current fire incidents across New South Wales, plotting point locations from a GeoJSON feed onto a geographic backdrop. It shows the spatial distribution of active hazards, differentiating between hazard reductions, motor vehicle accidents, and other fire types. The visualization uses D3.js for data binding and rendering, with a map projection and geographic path generator to draw the state’s coastline and boundaries. Incident points are positioned using a projection function, with a size encoding likely reflecting the reported fire area, while a legend clarifies the categories represented.

Gist 2fd864f036ba0a088c92

This visualization maps bushfire incidents across New South Wales, Australia, using a live data feed from the NSW Rural Fire Service. It displays fire locations as points and perimeter polygons, with tooltips revealing details like alert level, status, and responsible agency. The map is rendered using Leaflet with vector layers, while D3.js handles geographic projection and path generation. The visualization likely uses a symbol layer to differentiate fire categories, with the underlying data sourced from GeoJSON features that include spatial geometry and incident metadata.