GeoJSON for Recycling

Gist 51fc31ee453f57c3c5ad

This example maps recycling bin locations inside Vanderbilt Law School, pinpointing each spot with a marker on a geographic point feature. The visualization uses a GeoJSON file containing a single point with coordinates for the building, while a linked property array lists 20 image captions describing specific rooms or areas. The code relies on Leaflet or a similar mapping library to render the tile layer and plot the marker, applying the custom `marker-size`, `marker-color`, and `marker-symbol` styling from the GeoJSON properties. It also references local image files for each location, though the actual popup or gallery behavior is not implemented in the visible snippet.

76% match

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.

69% match

Gist 9af806e8acc168aa10c06099d668b711

This example presents an interactive map of historical Berlin locations from 1947, using GeoJSON point features to mark sites like the Synagogue Fasanenstrasse and Charlottenburg Gate. Each marker opens a popup with period photographs and captions, rendered through a Mapbox-like interface. The visualization relies on a custom marker system with symbol and color properties, while the underlying tour.json data drives the geographic placement and content. The implementation uses standard web mapping libraries to handle GeoJSON rendering and marker interactions, showing how archival image collections can be geolocated and explored.

67% match

Postman upload

This example demonstrates how GeoJSON point data with custom properties can be visualized on an interactive map. It uses D3.js to bind the feature collection and render each point as a marker, with properties like title, series, and image captions driving tooltips or popups. The code leverages d3.geoPath to project geographic coordinates and d3.forceSimulation for optional layout adjustments, while the marker styling (size, color, symbol) is drawn from the properties. The data source is a GeoJSON file loaded from a gist, and the visualization shows three historical images of Friedrichstraße in Berlin, with coordinates provided as strings in the geometry.

67% match

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

GeoJSON Experiments

This example displays geographic data on an interactive Mapbox map, using the Mapbox.js library and a full-screen map div. It fetches GeoJSON data from a CouchDB view via a jQuery `$.getJSON` call, then loads the returned feature collection into the map’s `featureLayer` with `setGeoJSON`. The map is initialized with `L.mapbox.map` and centered on coordinates (10.1, 125.6) at zoom level 5, showing how dynamic GeoJSON can be rendered on a tiled basemap.

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.

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.