Skip to main content
SimilarExport ZIP
100%

World Map

✓ Published1🌍 Public
Aabell@wpi.edu
Last edited Oct 25, 2024
Created on Oct 22, 2024
Forked from Simple World Map

This world map visualizes global population distribution, with countries shaded in increasingly deep reds to indicate higher 2022 population figures. The visualization loads geographic boundaries from the visionscarto-world-atlas TopoJSON file and joins it with population data from a CSV file. Using D3’s `geoNaturalEarth1` projection, `geoPath`, and `scaleSequential` with `interpolateReds`, it renders each country as a filled path. A graticule and outline provide geographic context, while the map fetches and processes the atlas data asynchronously via `fetch` and `topojson.feature`.

AI-generated description

A basic world map, showing higher world populations as a deeper red.

MIT Licensed

Similar vizzes

Loading thumbnail…

World Map

This interactive world map visualizes population data by country for 2018, using color and size to distinguish between regions with and without reported figures. The visualization employs a natural Earth projection via `d3.geoPath` and `d3.geoNaturalEarth1`, with countries rendered as SVG paths. Population values are mapped to circle sizes using `d3.scaleSqrt`, and a size legend with tick marks displays the scale. Users can pan and zoom through `d3.zoom`, and hovering over a country reveals its population via a tooltip. Data comes from a CSV file joined to TopoJSON world atlas geometry.

Rrohit181099
85% match
Loading thumbnail…

World Map

This interactive visualization displays global population data for 2018 on a natural Earth projection world map. It uses D3 v5’s `geoPath` and `geoNaturalEarth1` to render country boundaries from a TopoJSON world atlas, with hovering highlighting each nation. A color legend and a square-root size legend encode population values via `scaleOrdinal` and `scaleSqrt`, while a `zoom` handler enables panning and zooming. Data comes from a CSV merged with the atlas, and animated transitions update the legends.

Jjitendrashahiitb
85% match
Loading thumbnail…

World Population Map 2022

This choropleth map visualizes total population by country for 2022, using a threshold color scale with seven blues to indicate population ranges. It renders world geography via `d3.geoPath` with a Mercator projection, and loads country boundary data from a GeoJSON file while fetching population statistics from a CSV. Hovering over a country triggers animated opacity changes and highlights the selected region with a black stroke, with tooltips showing the country name and its population value.

AAllen Ho
85% match
Loading thumbnail…

World Population Map

This visualization displays global population distribution using a natural Earth projection, with circle markers positioned at capital cities. Circle size encodes population magnitude, while color categorizes each country by continent. The visualization uses D3’s `geoNaturalEarth1` projection and `geoPath` for rendering country boundaries and graticules, with `topojson-client` converting TopoJSON world atlas data. Population and capital coordinates come from combined CSV datasets, with circle radii scaled proportionally to the square root of population.

11807589994@qq.com
83% match
Loading thumbnail…

World Map Visualization

This visualization presents a choropleth world map showing population counts by country, using a blue sequential color scale on an SVG-rendered Natural Earth projection. The code loads CSV population data and GeoJSON country boundaries, then applies d3.geoNaturalEarth1 and d3.geoPath to draw each nation. Countries without matching data appear in black. Population values are converted to numbers and mapped through d3.scaleQuantize with d3.schemeBlues[5] to encode magnitude visually across the geographic layout.

NNukaShravanKumar
83% match
Loading thumbnail…

World map

This world map visualizes global city populations, with semi-transparent circles sized by population using a square-root scale. A Natural Earth projection draws the landmasses, graticule, and country borders via D3's `geoNaturalEarth1` and `geoPath`, while city coordinates are projected and rendered as SVG circles. The map loads geographic data from World Atlas TopoJSON and population data from a CSV, using `topojson.feature` and `topojson.mesh` to construct the land and interior boundaries.

TTakuya Kitazawa
82% match
Loading thumbnail…

map

This visualization displays a world map where each country is colored according to its population using a sequential yellow-orange-red color scale. Population data is loaded from a CSV file and merged with country geometries from the world-atlas TopoJSON dataset. The map uses a Mercator projection via d3.geoMercator and renders paths with d3.geoPath, while hovering over a country reveals its name and population in a tooltip. Missing data appears gray, and the SVG canvas includes a light blue background.

PP Manisha
82% match
Loading thumbnail…

Fork of World Map Pop

A choropleth world map visualizes population per country, with a deeper red fill indicating a higher population using a sequential red color scale in a [minimum, maximum] population domain. It plots country paths and a graticule using the d3.geoNaturalEarth1 projection and d3.geoPath API. The code joins population data from world_population.csv, reading the '2022Population' column, to the topojson feature collection of world countries, and fetches the atlas via topojson-client.

Sste.jendritz@gmail.com
82% match