Gist 8393725

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.

82% match

Gist 8393727

This visualization displays six labeled points on a map of the Yaroslavl region in Russia, each marking a village, settlement, or former pioneer camp with its name shown as a text label. It loads a GeoJSON FeatureCollection and renders the points using D3’s geographic projection and `d3.geoPath` to draw the underlying map. The code uses a `d3.forceSimulation` to position the labels, likely to avoid overlap, while the map itself is drawn on a Canvas element. Point coordinates and names come directly from the GeoJSON properties, with images left empty.

75% 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.

CCliffordAnderson

75% match

Gist 8393709

This visualization displays a world map rendered from GeoJSON data using D3.js, with country polygons colored according to a categorical scale. The map focuses on named regions and includes a legend and hover interactions, allowing viewers to explore geographic boundaries and associated metadata such as country names and people listed in the properties.

75% match

Gist 8392781

This visualization maps lake locations across the Adirondack region using a GeoJSON FeatureCollection, plotting each named water body as a point based on its coordinates. The code uses D3.js to render the geographic data, likely with `d3.geoPath` to draw the map context and `d3.forceSimulation` to position or adjust the points. The map shows the spatial distribution of ponds and lakes, with labels revealing their names and the year 2002 as the dataset’s reference. The rendering relies on SVG paths and projected coordinates to display the terrain.

Gist 10676346

This map displays labeled points from a GeoJSON file, plotting locations like "Internet Archive," "China," and "New York" at their geographic coordinates. The visualization likely renders a large-scale point cloud, with overlapping labels suggesting a messy or aggregated dataset. Using a mapping library, likely D3.js with `d3.geoPath` for drawing map features and standard SVG or Canvas techniques for placing text labels, the code creates a simple geographical scatter plot. The rendering emphasizes the spatial distribution of these named places across the globe.

CCliffordAnderson

Gist 8394767

The visualization plots ancient Roman amphitheaters as points on a map, using circle size to encode seating capacity and position to show geographic spread. It renders the GeoJSON features with a geographic projection, likely via `d3.geoPath`, and applies a force simulation to avoid label overlap. The map background and points are drawn on a canvas, with hover interactions to reveal titles and details from the embedded properties.

Gist 8393664

This visualization maps thousands of point features from a GeoJSON dataset of Bern, Switzerland, using D3.js. It shows the spatial distribution of automotive-related locations, including parking areas, fuel stations, and pedestrian crossings. The code loads the GeoJSON with `d3.json` and renders the points as small dots, likely using `d3.geoPath` to project coordinates onto a map canvas. The visualization relies on D3's projection and path APIs to display the geographic context.