Gist 8392784

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.

80% match

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.

74% match

Gist 8392782

This visualization shows the spread of Variable Milfoil, an invasive aquatic plant, across lakes in New York’s Adirondack region from 2002 to 2008. It plots each lake as a labeled point on a map, with the year of first recorded infestation noted in the properties. The code uses `d3.forceSimulation` to arrange the lake labels, avoiding overlap, and `d3.geoPath` to render the geographic context from the provided `lakes.geojson` data. Point positions derive directly from the GeoJSON coordinates, with no additional styling or interaction.

Gist 8393671

A single county subdivision polygon from a GeoJSON file is rendered on a map, with its geographic boundary drawn as a closed path and a marker placed at its centroid coordinates. The visualization uses D3’s `d3.geoPath` to project the polygon’s coordinates onto a 2D canvas, while the latitude and longitude properties from the GeoJSON feature are plotted as a point. The code relies on standard D3 projection and path-generation APIs, displaying the raw geometry without additional styling or interaction.

Gist 991607

This visualization maps the Admiralty Islands lowland rain forests ecoregion using a World Wildlife Fund shapefile, displaying its geographic boundary as a multipolygon vector. It uses d3.geoPath to render the projected shape onto a Canvas, with geographic coordinates derived from the WWF dataset’s spatial extent and CRS metadata. The example also reads pixel data via Canvas getImageData to inspect the rendered area, though it does not animate or filter the shape further.

Aandrewxhill

Gist 8393499

This visualization displays a segment of the Moose River in New York, rendered as two wide-river shoreline reaches from a GeoJSON file. The map shows the river’s course using blue line strings, with each feature annotated with attributes such as reach type, size class, and port code. The example uses the geojson.io interface to present the geographic data, highlighting river reaches within the Black River HUC8 watershed and Northeast Lake Ontario ecoregion, with each line colored by its attribute values.

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.

71% match