Kentucky Population Density

Kentucky Population Density

This is a thematic map of Kentucky counties colored by population density. It uses a conic conformal map projection with a specific rotate, scale, and center to position each county. The choropleth coloring applies a threshold scale with a ColorBrewer palette to classify density values, and the chart includes a legend showing population per square mile. The map is rendered as SVG using d3.geo.path and topojson.

94% match

Population Choropleth

A population choropleth of U.S. counties uses a logarithmic color scale to show population density, ranging from pale yellow to dark blue. The map projects counties with d3.geo.albersUsa() and renders them as SVG paths via d3.geo.path. Density is calculated by dividing each county’s population (from the 2010 Census shapefile, converted to TopoJSON) by its projected area, with the color domain set between the 1st and 99th percentiles. The topojson.feature API extracts county geometries for display.

74% match

Country population density

This choropleth map shows global population density by country, using color shading to represent people per square kilometer across multiple years from 2010 to 2021. The visualization is built from a GeoJSON file containing country boundaries and population density values for each year. The map encodes the population density data through a color scale, where darker or more intense colors indicate higher density values, allowing viewers to quickly compare population pressure across nations. Interactive hover or click tooltips would display the exact density values for each country and year.

WWill Carter

69% match

Choropleth Map of County Data

A choropleth map displays the poverty rate for counties across the United States, with each county shaded according to its value. The visualization uses a threshold color scale with a green sequential scheme, and includes a legend showing the percentage ranges. The map is rendered as SVG using d3.geoPath and TopoJSON, with state boundaries drawn as a white mesh. Data is loaded from external JSON and CSV files, and colors are assigned via d3.scaleThreshold.

JJacob Souch

A D3 map using topojson

This example displays a map of Kentucky’s counties, rendered as blue polygons with white strokes on a light background. It uses the Albers equal-area conic projection, configured via `d3.geo.albers()`, and draws each county with `d3.geo.path()`. The visualization loads geographic data from the local `ky-counties.json` file, converts it using the TopoJSON library, and renders it as SVG paths within a React framework.

AAishwarya Manjunath

Choropleth Map of County Data

A choropleth map of U.S. counties visualizes poverty rates as filled paths, with a color legend and axis labeling the percentage scale. Built with d3.v5, it loads TopoJSON county boundaries and a CSV of poverty data, then uses d3.geoPath to render SVG shapes and d3.scaleThreshold with d3.schemeGreens for the color encoding. State borders are drawn as white mesh lines, and hover tooltips show each county’s exact rate.

Yyqinolive

California Population Density II

A choropleth map of California displays population density per square mile across 23,198 block groups, using a sequential red color scale and a square-root axis legend. Drawn with `d3.geoPath` and SVG, the visualization loads topology from a preprocessed `topo.json` file, created by scripts that download Census block group boundaries and ACS population data via the Census API. The `prepublish` script projects, joins, and simplifies the data using `geo2topo`, `topomerge`, and `topoquantize`. County borders are overlaid as semi-transparent outlines.

U.S. Population Density

This map visualizes U.S. population density by census tract using a choropleth coloring scheme, with darker reds indicating higher people per square mile. It renders static SVG via an HTML image tag, and the map is derived from 2014 American Community Survey data joined with census tract boundaries. The build uses TopoJSON CLI tools (`geo2topo`, `topomerge`, `toposimplify`) and D3 projections (`d3.geoAlbersUsa`), with color bins defined by `d3.schemeOrRd` and a custom legend.