Create a density map
Last updated
Last updated
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 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.
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>