Gist 10676346

100%

✓ Published0🌍 Public

Last edited Apr 14, 2014

Created on Apr 14, 2014

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.

AI-generated description

Similar vizzes

Loading thumbnail…

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.

CCliffordAnderson

79% match

Loading thumbnail…

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

78% match

Loading thumbnail…

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.

CCliffordAnderson

77% match

Loading thumbnail…

Gist 2a4314be6d43ecda163979127d71caf5

This visualization maps a set of geographic points distributed across downtown Denver, Colorado, using a GeoJSON point layer. It shows the raw spatial clustering of locations, likely representing places or events, without additional thematic encoding. The rendering relies on a mapping library to project and draw the points, while the point data itself is loaded from a GeoJSON feature collection. The code demonstrates a simple, direct approach to displaying raw coordinate data, with no aggregation or styling beyond the base point markers.

WWill Carter

76% match

Loading thumbnail…

Gist f18adc0d5e8f2f124288

This visualization combines a GeoJSON geometry collection with a thematic map overlay, using a base point at coordinates (152.5169, -29.8064) and multiple detailed polygon outlines. The polygons appear to trace irregular regions or clusters, likely representing geographic areas or boundaries, while the point marks a specific location. The rendering emphasizes spatial relationships and distributions through geometric shapes, suggesting a geospatial analysis or mapping of regional data.

DDylanFM

75% match

Loading thumbnail…

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

75% match

Loading thumbnail…

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

75% match

Loading thumbnail…

test

This example visualizes a single point feature from a GeoJSON file, marking the location of Friedrichstraße in Berlin. The map uses D3’s `d3.geoPath` to render geographic outlines, while the point itself is drawn with SVG markers. The feature’s properties include an image carousel with historical photos, toggled by user interaction. The code relies on D3’s data binding and event handling to update the displayed images, and the geographic coordinates are parsed from string values in the GeoJSON. The rendering approach uses a standard Canvas or SVG projection, though the specific projection library is not shown. The source is a gist by CliffordAnderson, with data embedded directly in the file.

CCliffordAnderson

74% match