A Pen by Sota Hatakeyama on CodePen.
Created
September 2, 2018 07:21
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1-dimensional reaction simulation with D3.js
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/* | |
This is replication from this article http://www.degeneratestate.org/posts/2017/May/05/turing-patterns/ | |
*/ | |
console.clear(); | |
const { BehaviorSubject, interval } = rxjs; | |
const { take } = rxjs.operators; | |
const margin = { top: 20, right: 20, bottom: 40, left: 45 } | |
const width = 640 - margin.left - margin.right | |
const height = 400 - margin.top - margin.bottom | |
const svg = d3.select('body') | |
.append('svg') | |
.attr('width', width + margin.left + margin.right) | |
.attr('height', height + margin.top + margin.bottom) | |
.append('g') | |
.attr('transform', `translate(${margin.left}, ${margin.top})`); | |
const x = d3.scaleLinear().range([0, width]); | |
const y = d3.scaleLinear().range([0, height]); | |
const initialCondition = [ | |
{ | |
a: { x: 0.0, y: 0.1 }, | |
b: { x: 0.0, y: 0.7 } | |
} | |
]; | |
const xAxis = d3.axisBottom(x).ticks(5); | |
const yAxis = d3.axisLeft(y).ticks(5); | |
const dataset = new BehaviorSubject(initialCondition); | |
x.domain([0.0, 5.0]); | |
y.domain([1.0, 0.0]); | |
const valueLine = d3 | |
.line() | |
.x(d => x(d.x)) | |
.y(d => y(d.y)); | |
svg | |
.append('g') | |
.attr('class', 'axis') | |
.attr('transform', `translate(0, ${height})`) | |
.call(xAxis); | |
svg | |
.append('g') | |
.attr('class', 'axis') | |
.call(yAxis); | |
dataset.subscribe(data => { | |
svg.selectAll('.line').remove(); | |
svg.append('path') | |
.attr('class', 'line a') | |
.attr('d', valueLine(data.map(d => d.a))); | |
svg.append('path') | |
.attr('class', 'line b') | |
.attr('d', valueLine(data.map(d => d.b))); | |
}); | |
// parameters of the equations | |
const alpha = 0.3; | |
const beta = 3.0; | |
const reactionA = (a, b) => (a - Math.pow(a, 3) - b + alpha); | |
const reactionB = (a, b) => (beta * (a - b)); | |
const dt = 0.05; | |
const update = (current) => { | |
const last = current[current.length - 1]; | |
const a = last.a.y; | |
const b = last.b.y; | |
const ra = reactionA(a, b); | |
const rb = reactionB(a, b); | |
const nextA = { x: last.a.x + dt, y: a + ra * dt }; | |
const nextB = { x: last.b.x + dt, y: b + rb * dt }; | |
const next = { a: nextA, b: nextB }; | |
return [...current, next]; | |
}; | |
interval(50) | |
.pipe( | |
take(100) | |
) | |
.subscribe(n => { | |
const current = dataset.value; | |
const next = update(current); | |
dataset.next(next); | |
}); |
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<script src="https://d3js.org/d3.v5.min.js"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/rxjs/6.2.0/rxjs.umd.js"></script> |
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body { | |
font-family: system-ui, "Helvetica Neue", Helvetica, sans-serif; | |
font: 10px; | |
background-color: hsl(195, 45%, 18%); | |
} | |
svg { | |
margin-left: 20px; | |
background: hsl(195, 45%, 18%); | |
} | |
.axis line, | |
.axis path { | |
stroke: white; | |
} | |
.axis text { | |
fill: white; | |
} | |
.line { | |
stroke: hsl(72, 75%, 66%); | |
stroke-width: 2; | |
fill: none; | |
} | |
.a { | |
stroke: hsl(12, 75%, 66%); | |
} | |
.b { | |
stroke: hsl(132, 75%, 66%); | |
} |
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