Gist 8394767

Gist 8393657

This example maps two geographic points from a GeoJSON FeatureCollection onto a world map using D3’s `d3.geoPath` and a geographic projection. It then runs a force-directed simulation with `d3.forceSimulation`, treating the points as nodes that repel each other while being constrained by the map’s bounds. The visualization shows how the points drift and settle under the force layout, with their positions updated via D3’s data join. The code relies on the `Octomonster.geojson` file for the initial coordinates and uses Canvas rendering for the map and points.

74% match

Gist 8393715

This example visualizes a set of geolocated points in the Matera, Italy area as a static scatterplot. The code loads a GeoJSON GeometryCollection of point coordinates and plots them using D3’s geographic projection, with `d3.geoPath` to render the geometry. The points represent recorded signals or reports, and their spatial distribution reveals clusters around certain urban zones. The visualization uses D3’s data-binding to draw circles for each coordinate, with no interactive or animated behavior, relying solely on the projection and canvas rendering to communicate the location pattern.

74% match

Gist 8393725

The visualization displays a GeoJSON point dataset of named locations—such as Traino, Cascata, and Neviera—near a specific area in Italy, each with a YouTube link. It uses D3.js with a force-directed simulation (`d3.forceSimulation`) to position the points on a map, while `d3.geoPath` renders the geographic features. The points are colored and labeled, and hovering or clicking likely reveals the associated video link. The code relies on the GeoJSON structure for both location data and map boundaries.

74% match

Gist bb974dcf54acc39a81cb60d79bf0aa5c

This example plots earthquake epicenters as points on a map using GeoJSON features. It renders the geographic coordinates with `d3.geoPath` and a map projection, while each point is positioned via `d3.forceSimulation` to avoid overlapping labels. The visualization shows five recent seismic events, with the primary ID as magnitude and the secondary ID as a location description. The code uses D3’s force-directed layout to spread the point markers, and the map background likely comes from a geographic shapefile or topojson layer, making the data immediately readable by region.

JJn1532

Gist 894879

This example builds an interactive map visualization using the D3.js library, displaying geographic data over a rendered world map. It applies a force-directed simulation with `d3.forceSimulation` to position nodes, while `d3.geoPath` generates the map outlines and `d3.geoProjection` handles coordinate transformations. The interface includes customizable control panels styled via CSS, allowing users to adjust map layers and layout dynamically. The visualization renders data from a gist source, combining geographic boundaries with overlaid points that respond to simulated forces for a dynamic, data-driven presentation.

Aandrewxhill

Gist 6245338

This visualization maps three Spanish cities as individual points on a geographic projection, with each point represented by a small dot. It uses a custom map projection and renders the GeoJSON features as a filled landmass, while the city markers are drawn as circles. The code relies on `d3.geoPath` to project and draw the map geometry, and `d3.forceSimulation` is not used here; instead, the points are placed directly at their projected coordinates. The canvas API (`getContext('2d')`) handles all rendering, and the map’s geographic boundaries come from the embedded `map.geojson` FeatureCollection.

PPhilippe Rivière

Gist 54a4da81bb77308303fc5537ac587fe5

This example creates a minimal map visualization using a single GeoJSON Point feature representing the Dinagat Islands, positioned at coordinates (-86.8098, 36.1442). It first renders the point’s geometry using `d3.geoPath` and a standard geographic projection, then applies `d3.forceSimulation` to animate the point’s position, demonstrating how a fixed geographic coordinate can be displaced by a force-directed layout. The code uses both Canvas and SVG elements, with the simulation updating the point’s screen location each tick while the underlying projection remains static.

CCliffordAnderson

Gist 8393714

This visualization displays a set of GeoJSON polygon features—irregular, detailed land-boundary shapes—plotted as an interactive geographic map. The polygon coordinates, which trace long, meandering outlines around the 50.6°N latitude band, are rendered as a filled region, likely using a mapping library to project the coordinates. The example appears to focus on showing raw GeoJSON geometry on a map, with the single polygon standing out against the base map, and could serve as a template for viewing or testing geographic data.