basemap

Class 10

This interactive map of Washington, D.C., overlays bike-sharing stations, hiking trails, and points of interest onto a zoomable Mercator projection. Users can hover over red station markers or green trail paths to see tooltips with addresses, bike counts, or trail lengths. Built with D3 v4, the example uses `d3.geoMercator` and `d3.geoPath` to render geographic features, while `d3.zoom` and `d3.tile` provide a smoothly scaling tile-based view. Data is loaded from three remote JSON files hosted on GitHub, and the interface supports mouse-based panning and zooming.

85% match

Class 10

A data-visualization example titled “Discovering D.C. by Bike” shows bike-sharing stations, bike trails, and tourist attractions across Washington, D.C., on an interactive zoomable map. It uses d3-geo with a Mercator projection and d3-tile for the basemap, while d3-zoom enables pan and zoom with tile scaling. Hovering over markers reveals tooltips, and a legend explains the symbols. The code loads three GeoJSON datasets from GitHub and renders all elements as SVG with animation support, using d3.v4 and d3-legend for the color legend.

81% match

final stations2

This example shows a map of bike-share stations and trail paths in the Washington, D.C. area, with trails rendered in crimson and stations as points. It uses a conic conformal projection via `d3.geoPath` and `projection.fitSize` to center the view, while topojson and d3.json load the trail and station data. The code applies `d3.queue` for asynchronous loading and adds mouseover highlighting to trails, though station interactions are not implemented. The visualization relies on d3.v4, d3-tile, and topojson.v1, with SVG rendering.

78% match

homework 9

This visualization displays a zoomable map of the United States with OpenStreetMap tiles as the basemap, overlaid with red state boundaries. The map uses the d3-tile library to load and render raster tiles, while d3.geoMercator and d3.geoPath project the TopoJSON boundaries of US states from external JSON data. User interactions via d3.zoom adjust the tile scale and translate the projection to sync vector features with the changing raster view.

78% match

Class 10

This interactive map lets users pan and zoom across the United States, with a red outline showing county boundaries overlaid on OpenStreetMap tiles. A yellow draggable circle marks Washington, DC, and when moved, it displays the name of the state containing the current point in a tooltip. The visualization uses d3-tile for raster tiles, d3.geoMercator and d3.geoPath for projections and vector rendering, topojson for county mesh data, and d3.zoom and d3.drag for interaction.

FINAL PROJECT 04/26

This visualization maps hiking and biking trails in the Washington, D.C. area using a conic conformal projection. It renders trail paths in crimson and bike station locations as blue points, with trails highlighted on mouseover. The code uses d3.geoPath, d3.geoConicConformal, and d3-tile, loading trail data as TopoJSON and station data as GeoJSON from remote sources.

Raster & Vector II

A map of the United States uses a red outline to show state boundaries over OpenStreetMap raster tiles. The code combines d3-tile for tile loading, d3.geoMercator and d3.geoPath for reprojecting TopoJSON vectors, and d3-zoom for pan and zoom. On each interaction, the tile set and vector geometry are recomputed rather than relying on a transform, with tiles rendered as SVG images.

Mmbostock

Raster & Vector III

This example demonstrates pan and zoom interactions on a map of US counties, combining raster OpenStreetMap tile images with vector boundaries rendered as red outlines. The code uses d3-tile to load and position raster tiles, and d3.zoom to manage the user-driven transformations. A d3.geoPath with a Mercator projection draws a TopoJSON mesh of counties, while the zoom handler updates both the tile positions and the vector’s transform and stroke-width for efficient performance. The vector data is fetched from a GitHub-hosted TopoJSON file.

CCurran Kelleher