grafico_Mapa

let's make a world map

This interactive map renders world countries as SVG paths using a Mercator projection. The visualization loads country boundaries from a world-atlas GeoJSON/TopoJSON dataset and draws them server-side with D3’s `geoPath` and `geoMercator`. The code employs `topojson.feature` to convert topological data into geometric features, then appends each path to the SVG canvas.

KKRITIKA RAI DWIVEDI

MAP

A map of world countries renders as SVG paths, with each country colored white and outlined in dark grey, while oceans appear light blue. Hovering a country turns it light blue. The visualization uses D3 v5’s `geoNaturalEarth1` projection and `geoPath` to draw the sphere and country boundaries from the world-atlas TopoJSON dataset, with `topojson.feature` converting the raw data into features. Zooming is enabled via D3’s `zoom` behavior, which applies transforms to the map group.

Ccocktaildata

World map

A world map rendered with SVG paths displays countries in green on a blue background, using the Mercator projection. The code loads TopoJSON world-atlas data via `d3.json` and converts it to GeoJSON with `topojson.feature`. D3’s `geoMercator` and `geoPath` generate the country outlines, which are appended as `<path>` elements with a semi-transparent black stroke.

Eevapavlinek

Map.js!

This map visualization displays the world’s countries by using a Mercator projection to render geographic features as filled SVG paths on a light gray sphere background. The code loads country boundaries from the world-atlas TopoJSON dataset and converts them to GeoJSON with `topojson.feature`, then draws each country using `d3.geoPath`. Styling applies a blue fill with dark strokes and a subtle opacity, while the hidden overflow and full-bleed body create an immersive, full-window presentation.

Aargonaeut

Let's make a Map

This map renders world countries from the world-atlas TopoJSON dataset, using D3’s `geoNaturalEarth1` projection and `geoPath` to draw landmasses and country boundaries. The SVG output fills countries in light gray with blue strokes over a blue ocean sphere. It demonstrates a basic choropleth setup by asynchronously loading the 110m-resolution data and applying styling from an external stylesheet. The example shows how to project geographic features with D3’s geo API and topojson’s `feature` conversion.

Aarieltonglet

World map

A world map rendered with dark green landmasses and white outlines on a light blue background. The visualization uses a GeoJSON-derived feature collection from the world-atlas TopoJSON source, projected with `d3.geoMercator` and drawn via `d3.geoPath`. The code loads the TopoJSON file, converts it to GeoJSON features using `topojson.feature`, and appends SVG paths for each country. Styling is applied through CSS with the `fill` and `stroke` properties.

GGiovanni Kaaijk

World Map

A choropleth-style world map renders landmasses in teal on a light gray sphere, with interior country borders highlighted in a brighter cyan. The visualization is built with React and D3, using `d3.geoNaturalEarth1` for the projection and `d3.geoPath` to draw the sphere, graticule, land, and interior boundaries. Geographic data comes from the `world-atlas` TopoJSON source, processed via `topojson.feature` and `topojson.mesh`. The SVG output is styled with the Poppins font and custom CSS classes.

Nnpelliccia

World Map with the world Topojson data

This example displays a world map using the Mercator projection, with each country rendered as a filled SVG path along a light green background and dark green borders. The map is built with the d3.geo.path API, which generates path data from the TopoJSON geometry of the world-atlas dataset. The code loads geographic data from a JSON file and uses topojson.object to extract country boundaries before injecting them into SVG path elements for visualization.

Aanushatod