Tricolore.js

A JavaScript/TypeScript library for visualizing ternary compositions with choropleth maps, heavily inspired by the R tricolore package.

Example notebook
Example notebook (Sextant)

Installation

npm install tricolore # Replace npm by you package manager of choice (yarn, pnpm, ...)

If you plan to use the visualization components, you'll also need D3.js, either included in your HTML document or installed via npm/yarn:

npm install d3 # Replace npm by you package manager of choice (yarn, pnpm, ...)

Usage

Basic Color Mapping

import { tricolore } from 'tricolore';

// Create some ternary compositions (p1 + p2 + p3 = 1)
const data = [
  [0.7, 0.2, 0.1],
  [0.3, 0.6, 0.1],
  [0.2, 0.3, 0.5]
];

// Get color codes for each composition
const colors = tricolore(data, {
  center: [1/3, 1/3, 1/3],  // Center of the color scale
  breaks: 3,                // Discretization level (use Infinity for continuous)
  hue: 80,                  // Primary hue
  chroma: 140,              // Color intensity
  lightness: 80,            // Color lightness
  contrast: 0.4,            // Contrast between colors
  spread: 1                 // Spread of colors around center
});

console.log(colors); // An array of hex color codes

Color mapping (+ mean centering)

import { tricolore, CompositionUtils } from 'tricolore';

// Create some ternary compositions (p1 + p2 + p3 = 1)
const data = [
  [0.7, 0.2, 0.1],
  [0.3, 0.6, 0.1],
  [0.2, 0.3, 0.5]
];

// Compute center
const center = CompositionUtils.center(data);

// Get color codes for each composition
const colors = tricolore(data, {
  center: center,     // Use the computed center
  breaks: Infinity,   // Discretization level (Infinity for continuous color scale)
  hue: 10,            // Primary hue
  chroma: 120,        // Color intensity
  lightness: 70,      // Color lightness
  contrast: 0.2,      // Contrast between colors
  spread: 1           // Spread of colors around center
});

console.log(colors); // An array of hex color codes

Visualization with D3.js

import { TricoloreViz } from 'tricolore';

// You can pass a DOM selector or an HTML element or a d3 selection
// as the first argument
// The second and third arguments are width and height of the SVG container
// where the plot will be rendered
const viz = new TricoloreViz('#container', 500, 500);

// Create a continuous ternary plot
viz.createContinuousPlot(data, {
  hue: 80,
  chroma: 140,
  lightness: 80,
  contrast: 0.4,
  spread: 1,
  showData: true,
  showCenter: true,
  labels: ['Factor 1', 'Factor 2', 'Factor 3']
});

// Create a discrete ternary plot
viz.createDiscretePlot(data, {
  hue: 80,
  chroma: 140,
  lightness: 80,
  contrast: 0.4,
  spread: 1,
  breaks: 3,
  showData: true
});

// Create a sextant ternary plot
viz.createSextantPlot(data, {
  values: ['#FFFF00', '#B3DCC3', '#01A0C6', '#B8B3D8', '#F11D8C', '#FFB3B3'],
  showData: true,
});

Choropleth Maps

import { tricolore } from 'tricolore';
import * as d3 from 'd3';

// Assuming you have GeoJSON with ternary data
d3.json('regions.json').then((geojson) => {
  // Extract compositions from properties
  const data = geojson.features.map((f) =>
    [f.properties.var1, f.properties.var2, f.properties.var3]
  );

  // Get colors
  const colors = tricolore(data);

  // Create map
  const svg = d3.select('#map')
    .append('svg')
    .attr('width', 800)
    .attr('height', 500);

  const projection = d3.geoMercator().fitSize([800, 500], geojson);
  const path = d3.geoPath().projection(projection);

  svg.selectAll('path')
    .data(geojson.features)
    .enter()
    .append('path')
    .attr('d', path)
    .attr('fill', (d, i) => colors[i]); // Use the computed colors
});

API Documentation

See the full documentation for detailed API reference.

License

GPL-3.0 License. See the LICENSE file for details.