Gist 54a4da81bb77308303fc5537ac587fe5

Gist 903d72011a7b4d0c0266d0a6a1b3100e

This example displays a single GeoJSON Point feature representing Dinagat Islands at coordinates [125.6, 10.1]. A minimal point.geojson file defines the geometry and a name property. The visualization relies on d3.geoPath to render the geographic coordinate onto a map projection, demonstrating a static point placement without additional interaction or data transformation.

88% match

Gist 9bd5ca69fc039cff50383b3a3459858b

This example shows how to render a spatial distribution of data points on a map using D3.js. It uses `d3.geoPath` to draw geographic boundaries and `d3.forceSimulation` to position overlapping points, while Canvas `getImageData` is used to read pixel data for collision detection. The visualization reads from a PGP-encrypted text file, suggesting the underlying dataset is not directly accessible. The code relies on D3’s selection and transition APIs to animate point movements, and it appears to use a projection to convert latitude and longitude coordinates into screen positions. The result is an interactive scatterplot overlaid on a map, with points dynamically adjusting to avoid overlap.

84% match

GeoJson Experiments

This example shows a single GeoJSON point feature, labeled "Dinagat Islands," placed at coordinates [125.6, 10.1] on an interactive Mapbox map. The map uses the Mapbox.js library with a tile basemap, and the feature layer is populated directly from inline GeoJSON data via `setGeoJSON`. The view is centered on the point at zoom level 6. The code demonstrates minimal setup for rendering geographic features without additional interaction or styling, relying on Mapbox’s built-in rendering pipeline.

83% match

GeoJson Experiments

This example displays a minimal GeoJSON feature collection on an interactive slippy map. It renders a point for Dinagat Islands, a point for Singapore, and a line string connecting their coordinates. The map is built with Mapbox.js version 1.6.2, and the GeoJSON data is loaded directly into the map’s `featureLayer.setGeoJSON` method. The visualization demonstrates basic point and line geometry placement over a raster tile background, with the view initially centered on the first coordinate at zoom level five.

81% match

Gist 8603058

This example presents an interactive campus tour using GeoJSON point data, mapping two historic landmarks with descriptions and photo links. It renders the geographic points on a map using D3’s `d3.geoPath` and `d3.forceSimulation` to position labels or markers, while pulling tour info from the embedded feature properties. The visualization relies on the GeoJSON FeatureCollection structure and displays Wikipedia URLs and image thumbnails as part of each stop. Coordinate parsing and path generation are handled through standard D3 geo projections, making the tour spatially navigable.

Gist 34bad0b124f4effdf99d5555cb3222d8

This example shows how spatial relationships between geographic features can be explored through an interactive map. It uses D3.js with `d3.geoPath` to render country outlines from a GeoJSON source, while a force-directed layout via `d3.forceSimulation` positions non-overlapping markers for data points. The visualization computes marker placement on a Canvas, reading pixel colors with `getImageData` to detect land versus water and ensure points remain on landmasses. Hover interactions trigger a tooltip and highlight neighboring regions, with smooth transitions handled by `transition.attrTween`. The data originates from a public GitHub gist and is embedded in a Power BI report, where the canvas is updated on each zoom or pan event.

HHugoberry

Gist fdfc88707da3d0b9b203

This example shows the clustering and connection of points on a map based on their geographic proximity and shared attributes. It uses a force-directed layout via `d3.forceSimulation` to position nodes while links are drawn as curved paths, with a base projection provided by `d3.geoPath` and `d3.geoMercator`. The data is loaded from an external CSV file, and the visualization updates dynamically as the simulation runs, highlighting node neighborhoods and their interconnections.

MMSCAU

Gist e8914af0b0ac89f0bb63ab1ffa0d4f71

This example plots a single geographic point from a GeoJSON file, marking the Vanderbilt Library’s location with a yellow school symbol and a popup containing its title, tour date, and an external Wikimedia image. The visualization uses an SVG map rendered with D3’s `d3.geoPath` and `d3.forceSimulation` to place the marker, while the associated properties are bound to the feature for interactive display. The map’s basemap and styling are not specified in the code, only the one-point feature and its metadata.