Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published0🌍 Public
Jjs164
Last edited Mar 9, 2021
Created on Mar 9, 2021
Forked from Hello HTML

A world map rendered in gray displays curved green lines connecting pairs of cities, with each line drawn as a GeoJSON LineString between two latitude-longitude coordinates loaded from a CSV file. The example uses d3.geoMercator for projection, d3.geoPath to generate SVG paths for both the world shape and connection lines, and d3.queue to load the world GeoJSON and connection data concurrently. Country boundaries appear with white strokes and zero width, while the connections use a teal stroke.

AI-generated description

A bare minimum HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This example displays a world map rendered as SVG paths, with each country filled in grey and stroked with white. The visualization uses a Mercator projection centered on the equator, configured via `d3.geoMercator` with a custom scale and rotation. The code loads US Atlas topology data from a remote JSON file and uses `topojson.feature` to extract country boundaries, which are then drawn with `d3.geoPath`. The SVG container is created using `d3.select` and appended to the document body.

Sspace-captain96
87% match
Loading thumbnail…

Untitled

A world map rendered in the Mercator projection displays country boundaries as grey paths with thin white strokes. The example demonstrates loading GeoJSON-derived topology data from a local `world-110m2.json` file and converting it to SVG paths using `d3.geoPath`. The map is centered and rotated with `d3.geoMercator` and `projection.rotate`, and country features are extracted via `topojson.feature` from the TopoJSON library. The page uses D3 v7 to fetch the data asynchronously with `d3.json` and append the resulting paths to an SVG container.

Sspace-captain96
86% match
Loading thumbnail…

Untitled

This example shows a world map rendered as gray countries with white borders, overlaid with white circles marking populated places from Natural Earth data. Hovering over a country or city highlights it in pink or blue, respectively. The visualization uses D3 v3's `d3.geoMercator` projection and `d3.geoPath` to draw GeoJSON features from two remote sources: world-110m.geojson for countries and ne_50m_populated_places_simple.geojson for places. Circles are positioned via the projection’s coordinates and respond to mouseover and mouseout events.

JJumblii
86% match
Loading thumbnail…

Untitled

This example displays a world map rendered as SVG paths, colored grey with thin white stroke lines separating countries. The map uses the Mercator projection, centered on the prime meridian and rotated to show the eastern hemisphere. Users can pan and zoom interactively via a d3.zoom handler, which applies a transform to the grouped country paths during the zoom event. The geographic data comes from a TopoJSON file loaded with d3.json, and the features are extracted using topojson.feature before being drawn with d3.geoPath. The projection is configured with d3.geoMercator, and the zoom scale is restricted to a range of 1 to 8.

NNatalija Jansone
85% match
Loading thumbnail…

Untitled

This example shows a world map colored by population data, though the color encoding is incomplete as the code only logs country IDs to the console instead of applying the fill. It uses D3 v4 with `d3.geoMercator` projection, `d3.geoPath` for rendering countries as SVG paths, and a `d3.scaleThreshold` with `d3.schemeBlues` for potential color mapping. The external data includes a GeoJSON world topology and a CSV of country population values, loaded asynchronously via `d3.queue`. The map is rendered as an SVG element with a fixed width and height.

Yyvesponcon
84% match
Loading thumbnail…

Untitled

This visualization displays a world map using a Natural Earth projection, with each country rendered as a white SVG path with green borders using D3 v4’s `d3.geoPath` and TopoJSON data from `world-110m.json`. Country names from `world-country-names.csv` are joined to the geometry via their IDs. Hovering over a country changes its fill to grey, thickens its stroke, and shows a tooltip with the country’s name that follows the mouse cursor.

NNecklessCage
83% match
Loading thumbnail…

Untitled

This example shows a world map rendered as light green countries against a blue sphere, with black country borders at low opacity. It uses D3’s `geoNaturalEarth1` projection and `geoPath` to draw geographic shapes, while `topojson.feature` extracts country polygons from the world-atlas dataset (110m resolution). The SVG is populated asynchronously after fetching the TopoJSON file, and the sphere is drawn first as a filled path. Styling comes entirely from CSS classes.

Ffaaty
82% match
Loading thumbnail…

Untitled

This example displays a world map colored by continent, with each landmass labeled at its geographic centroid. It uses a Natural Earth projection with a slight rotation, rendered as SVG paths. The code loads TopoJSON data, converts it to GeoJSON features via `topojson.feature`, and projects centroids using `d3.geoCentroid` and `d3.geoPath`. Continent colors are assigned from a hardcoded array, and labels are appended as SVG `<text>` elements. The visualization relies on d3.v4, topojson.v2, and d3-geo-projection.

RRoyCsuka
82% match