Create a density map
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This is the official documentation of the forestadmin/laravel-forestadmin
v2+ and forestadmin/symfony-forestadmin
PHP 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 library. Of course, you can choose to use any other library of your choice.
The resulting chart can be resized to fit your use.
use ForestAdmin\AgentPHP\DatasourceCustomizer\Context\AgentCustomizationContext;
use ForestAdmin\AgentPHP\DatasourceCustomizer\Decorators\Chart\ResultBuilder;
$forestAgent->addChart(
'densitymap',
function (AgentCustomizationContext $context, ResultBuilder $resultBuilder) {
$client = new GuzzleHttp\Client();
$contours = $client->get(
'https://static.observableusercontent.com/files/6b1776f5a0a0e76e6428805c0074a8f262e3' .
'f34b1b50944da27903e014b409958dc29b03a1c9cc331949d6a2a404c19dfd0d9d36d9c32274e6ffb' .
'c07c11350ee?response-content-disposition=attachment%3Bfilename*%3DUTF-8%27%27coun' .
'ties-albers-10m.json'
)
->getBody()
->getContents();
$population = $client->get(
'https://static.observableusercontent.com/files/beb56a2d9534662123fa352ffff2db8472e4' .
'81776fcc1608ee4adbd532ea9ccf2f1decc004d57adc76735478ee68c0fd18931ba01fc859ee4901d' .
'eb1bee2ed1b?response-content-disposition=attachment%3Bfilename*%3DUTF-8%27%27popu' .
'lation.json',
)
->getBody()
->getContents();
return $resultBuilder->smart(
[
'contours' => json_decode($contours, true, 512, JSON_THROW_ON_ERROR),
'population' => json_decode($population, true, 512, JSON_THROW_ON_ERROR),
]
)
}
);
/* 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();
}
}
<div class='c-smart-view'>{{this.chart}}</div>
This density map chart is inspired by .