Skip to main content
SimilarExport ZIP
100%

GeoVisualization - Choropleth map of the world

✓ Published5🌍 Public
AAlark Joshi
Last edited Nov 1, 2022
Created on Nov 1, 2022
Forked from HTML Starter

This example presents a choropleth map of the world, coloring each country according to its population using a threshold color scale with sequential blues. The visualization uses D3.js (v6) to load GeoJSON and CSV data, projecting the map with a Mercator projection via `d3.geoMercator` and drawing paths with `d3.geoPath`. Interactivity highlights countries on mouseover by adjusting opacity and stroke, while the SVG rendering displays the result.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of GeoVisualization - Choropleth map of the world

This example shows a choropleth map of the world coloring each country by population, with a blue threshold color scale. It uses `d3.geoPath` and `d3.geoMercator` to project and draw country boundaries from a GeoJSON file, while population data is loaded from a CSV and mapped by country code. Mouseover transitions dim all countries except the hovered one, which gains a black stroke. The visualization is built with D3 v6 and rendered as SVG, using `d3.scaleThreshold` and `d3.schemeBlues[7]` for the color encoding.

EEjenavi16
93% match
Loading thumbnail…

Fork of GeoVisualization - Choropleth map of the world

This visualization presents an orthographic choropleth map of the world, coloring each country by its population using a threshold scale with sequential blue shades. The code loads GeoJSON country boundaries and CSV population data via `d3.json` and `d3.csv`, projecting them with `d3.geoOrthographic` and rendering paths through `d3.geoPath`. Hover interactions trigger opacity transitions and stroke highlights on the SVG countries, while all elements are drawn with D3 v6 in a React environment.

KKetaki789
90% match
Loading thumbnail…

Fork of GeoVisualization - Choropleth map of the world

This choropleth map of the world visualizes population by country using a threshold color scale, with dark blue representing higher populations. The map renders in SVG and responds to mouse-over and mouse-leave events by adjusting the opacity of all countries and highlighting the hovered one with a black stroke. The code loads GeoJSON boundaries and CSV population data via `Promise.all`, projects the paths using `d3.geoPath` with a Mercator projection, and colors each country through `d3.scaleThreshold` and `d3.schemeBlues`. Interactions are handled with D3 transitions for smooth visual feedback.

YYerlan Yeszhanov
89% match
Loading thumbnail…

Choropleth map

This choropleth map displays global population data by country, with a threshold color scale using `d3.scaleThreshold` and `d3.schemeBlues`. The example loads world GeoJSON topology and population CSV data via `d3.json` and `d3.csv`, rendering the map with `d3.geoPath` and a Mercator projection. Interactive buttons allow switching between music genres, though the map itself does not respond to these selections. The visualization uses D3 v4 and SVG rendering within a 400x300 viewport.

Ffkara09
87% match
Loading thumbnail…

Choropleth World population map

A choropleth world map visualizes population data by country, using sequential color intensity from a threshold color scale to represent population magnitude. The visualization employs a Robinson projection to render the geographic layout, with each country's fill color derived from a CSV dataset joined to the GeoJSON map data. Interactive features include tooltips on hover, displaying the country name and calculated population in millions, while click and hover events trigger opacity and stroke changes. The implementation utilizes d3.geoPath for map drawing, d3.scaleThreshold for color classification, and d3.queue for asynchronous data loading, all rendered as SVG elements within a styled HTML container.

Vvishusikka
85% match
Loading thumbnail…

World Map Visualization

This example displays a choropleth world map where countries are colored by population using a blue sequential color scale. The visualization loads geographic boundaries from Natural Earth GeoJSON and joins them with population data from a CSV file. It leverages D3 v6 APIs including `d3.csv`, `d3.json`, `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.scaleQuantize` with `d3.schemeBlues`. Countries without matching data appear black, while the SVG rendering uses a 800x500 viewport.

Ssaikrishnabussa
85% match
Loading thumbnail…

Untitled

This example presents a choropleth map of global population by country, rendered as an SVG using D3.js v4. It employs a Mercator projection via `d3.geoMercator` and draws country boundaries with `d3.geoPath`. The fill color for each nation is determined by a threshold color scale that bins population values into a blue scheme from `d3.schemeBlues`. Data is loaded asynchronously with `d3.json` for the world GeoJSON topology and `d3.csv` for population figures.

AAaronBhasker
85% match
Loading thumbnail…

Fork of GeoVisualization - Choropleth map of the world

This example displays a choropleth map of the world, rendering country boundaries as gray paths on an SVG. When the user hovers over a country, its fill changes to red, and it reverts to gray on mouseout. The code loads GeoJSON data from a GitHub repository using `d3.json` and applies the `d3.geoEqualEarth` projection with `projection.fitExtent` to fit the map to the viewport. It uses `d3.geoPath` to generate the path data for each feature, with the SVG sized dynamically based on the window dimensions.

PPedram
85% match