Create a density map

This is the official documentation of the forestadmin-agent-django and forestadmin-agent-flask Python agents.

This last example shows how you can achieve virtually anything since you are coding in a sandbox. There's no limit to what you can do with Smart Charts.

In this snippet, notice how we import the D3js ↗ library. Of course, you can choose to use any other library of your choice.

This density map chart is inspired by this one ↗.

The resulting chart can be resized to fit your use.

Component

/* eslint-disable */

import Component from '@glimmer/component';
import { loadExternalJavascript } from 'client/utils/smart-view-utils';
import { action } from '@ember/object';
import { tracked } from '@glimmer/tracking';
import { inject as service } from '@ember/service';

// Settings
const height = 610;
const width = 975;

export default class extends Component {
  @service lianaServerFetch;
  @tracked chart;

  constructor(...args) {
    super(...args);

    this.load();
  }

  async load() {
    // Load charting library
    await loadExternalJavascript('https://d3js.org/d3.v6.min.js');
    await loadExternalJavascript('https://unpkg.com/topojson-client@3');

    // Load data from agent
    const response = await this.lianaServerFetch.fetch(
      '/forest/_charts/densitymap',
      {},
    );
    const data = await response.json();

    // Render chart
    this.renderChart(data.contours, data.population);
  }

  @action
  async renderChart(us, population) {
    // Format data
    const format = d3.format(',.0f');
    const path = d3.geoPath();

    const features = new Map(
      topojson.feature(us, us.objects.counties).features.map(d => [d.id, d]),
    );

    const data = population.slice(1).map(([population, state, county]) => {
      const id = state + county;
      const feature = features.get(id);
      return {
        id,
        position: feature && path.centroid(feature),
        title: feature && feature.properties.name,
        value: +population,
      };
    });

    const radius = d3.scaleSqrt([0, d3.max(data, d => d.value)], [0, 40]);

    // Render SVG
    const svg = d3.create('svg').attr('viewBox', [0, 0, width, height]);

    svg
      .append('path')
      .datum(topojson.feature(us, us.objects.nation))
      .attr('fill', '#ddd')
      .attr('d', path);

    svg
      .append('path')
      .datum(topojson.mesh(us, us.objects.states, (a, b) => a !== b))
      .attr('fill', 'none')
      .attr('stroke', 'white')
      .attr('stroke-linejoin', 'round')
      .attr('d', path);

    const legend = svg
      .append('g')
      .attr('fill', '#777')
      .attr('transform', 'translate(915,608)')
      .attr('text-anchor', 'middle')
      .style('font', '10px sans-serif')
      .selectAll('g')
      .data(radius.ticks(4).slice(1))
      .join('g');

    legend
      .append('circle')
      .attr('fill', 'none')
      .attr('stroke', '#ccc')
      .attr('cy', d => -radius(d))
      .attr('r', radius);

    legend
      .append('text')
      .attr('y', d => -2 * radius(d))
      .attr('dy', '1.3em')
      .text(radius.tickFormat(4, 's'));

    svg
      .append('g')
      .attr('fill', 'brown')
      .attr('fill-opacity', 0.5)
      .attr('stroke', '#fff')
      .attr('stroke-width', 0.5)
      .selectAll('circle')
      .data(
        data.filter(d => d.position).sort((a, b) => d3.descending(a.value, b.value)),
      )
      .join('circle')
      .attr('transform', d => `translate(${d.position})`)
      .attr('r', d => radius(d.value))
      .append('title')
      .text(d => `${d.title} ${format(d.value)}`);

    this.chart = svg.node();
  }
}

Template

<div class='c-smart-view'>{{this.chart}}</div>