The library builds streamlines for arbitrary vector fields, trying to keep uniform distance between them.
You can play with the interactive demo, though keep in mind - it's just a demo created in one night. True value of this repository is in the library itself :).
Demo is here: https://anvaka.github.io/streamlines
More advanced example is wind-map - visualization of the winds map with evenly spaced streamlines.
Use it with your favorite bundler:
npm install @anvaka/streamlines
Or include a precompiled version:
https://cdn.jsdelivr.net/gh/anvaka/[email protected]/dist/streamlines.min.js
If you are using precompiled version, it will be available under global name window.streamlines.
var vectorField = p => ({ x: -p.y, y: p.x });
streamlines({
vectorField,
onPointAdded(from, to) {
// called when new point is added to a line
console.log("point created", from, to);
},
onStreamlineAdded(points) {
// Points is just a sequence of points with `x, y` coordinates through which
// the streamline goes.
console.log("stream line created. Number of points: ", points.length);
}
}).run();The library allows you to configure various aspects of computation:
streamlines({
// Vector field is a function that given a point p returns 2d vector
// field {x, y}
vectorField(p) { return p; },
// Defines bounding box of the vector field
boundingBox: {left: -5, top: -5, width: 10, height: 10},
// Defines the first point where integration should start. If this is
// not specified a random point inside boundingBox is selected
// You can pass array of seed points, they are going to be used one by one
// if they satisfy the rules.
seed: {x: -1, y: 1},
// Separation distance between new streamlines.
dSep: 0.5
// Distance between streamlines when integration should stop.
dTest: 0.25,
// Integration time step (passed to RK4 method.)
timeStep: 0.01,
// If set to true, lines are going to be drawn from the seed points
// only in the direction of the vector field
forwardOnly: false
}).run();The library does not depend on any particular rendering engine, and can be used in the browser or node.js environment. However, for your convenience and reference I've added a simple canvas renderer:
// Let's assume you have a <canvas id='scene'></canvas> in your document:
var canvas = document.getElementById("scene");
// Then you can render to it with this bit of code:
streamlines({
// As usual, define your vector field:
vectorField(p) {
return { x: -p.y, y: p.x };
},
// And print the output to this canvas:
onPointAdded: streamlines.renderTo(canvas)
}).run();Here is a JSBin for you to try.
The library is asynchronous in its nature. This is done mostly to give you more control over streamline construction process.
The downside is that it is harder to understand the code. It is written in a way so that it can be interrupted at almost every computational step.
If you want to cancel rendering, call dispose method:
var renderer = streamlines({
vectorField(p) {
return p;
}
});
// Launch the construction
renderer.run();
// something has happened and you want to stop?
renderer.dispose();If you want to understand the algorithm, please read this paper - the library follows it closely.
MIT