Skip to main content
100%

Gooey Force Layout N-body Problem - Canvas

✓ Published0🌍 Public
Aandrew-reid
Last edited Nov 4, 2017
Created on Nov 4, 2017

This example shows a gooey, blob-like visualization of 400 nodes simulated with an N-body force layout, rendered on a Canvas element. The simulation uses `d3.forceSimulation` with a `forceManyBody` charge and no velocity decay, causing the nodes to move continuously. Each frame, `d3.contourDensity` computes density contours from the node positions, and `d3.geoPath` draws the filled and stroked contour shape, creating a smooth, merged form. The code uses D3 v4 and the d3-contour and d3-scale-chromatic libraries.

AI-generated description

Building upon this svg based force layout with contours, but with canvas

Similar vizzes

Loading thumbnail…

Gooey Force Layout N-body Problem with Contours

Five hundred unattached nodes drift in a perpetual N-body force simulation, their positions continuously recomputed by d3.forceSimulation with charge and center forces. As the nodes move, a d3.contourDensity estimate generates contour paths from their current coordinates, rendered as filled SVG paths via d3.geoPath. The contours are colored with a sequential YlGnBu scale, producing a gooey, fluid-like visualization of point density that updates on every tick.

Aandrew-reid
89% match
Loading thumbnail…

Fun with d3 contours and force layouts

A force-directed simulation of 2,000 nodes drifts across a canvas while a contour density field, computed via `d3.contourDensity`, is redrawn each tick with `d3.geoPath`. The contour thresholds increase over time, causing the filled regions to shrink and eventually vanish as the simulation settles. The color cycles through a steelblue-to-orange scale using a linear interpolator, and the canvas context directly handles all rendering. The example demonstrates how dynamic thresholds and a decaying force layout produce a gradually drying-up visual effect.

Aandrew-reid
81% match
Loading thumbnail…

N-Body Problem

Two hundred colored circles gravitate and collide, their motion traced by white velocity streaks, in an N-body simulation rendered on an HTML5 Canvas. The piece uses the D3 v3 APIs `d3.layout.force` for the force-directed layout, `d3.geom.quadtree` for efficient collision detection, and `d3.scale.linear` to map speed to a steelblue-to-brown stroke. Each tick pauses the simulation, redraws the scene, and resumes, with circle positions and velocities updated from prior frames.

Mmbostock
80% match
Loading thumbnail…

Gist 125a08076cec47c50dcbbfd530c810b4

This example shows a force-directed simulation of a network, with nodes and links rendered on a canvas. The code uses d3.forceSimulation to compute node positions and d3.drag for interactive movement, while drawing the graph via Canvas 2D API calls. The visualization also includes a color legend and node labels, though the underlying data appears to be generated programmatically rather than loaded from an external file. A time-based animation updates the layout continuously, and the interface allows zooming and panning through d3.zoom.

SSohojoe
79% match
Loading thumbnail…

Force Layout with Canvas

This example shows a force-directed graph rendered on a canvas element instead of in SVG, using d3.layout.force to compute the layout and the Canvas 2D API’s `getContext` and `arc` for drawing. The graph loads node and link data from a local `graph.json` file, with nodes drawn as steelblue circles and links as gray lines. The simulation runs continuously, updating the canvas on each tick event by clearing the frame and redrawing the nodes and links. Unlike the SVG version, nodes are not draggable, but the canvas approach offers modest performance improvements.

Mmbostock
78% match
Loading thumbnail…

Gist 021802844523c89a6e3f2aa959bc8421

This visualization uses D3.js to simulate a force-directed network layout, drawing nodes as circles connected by curved links. The code employs `d3.forceSimulation` to compute positions and velocities, with link distances tuned by the `distance` accessor and repulsive forces via `forceCollide`. It renders onto an HTML canvas using the Canvas API, and the animation loop runs continuously via `requestAnimationFrame`. The data is hardcoded in a variable named `data`, containing node and link arrays, but no external dataset is loaded; the example focuses on demonstrating a custom force layout with adjustable parameters.

MMbrownshoes
78% match
Loading thumbnail…

Gist 1459e89acd1739c6b63b384959d79e35

This example shows a force-directed network visualization where nodes are positioned on a canvas. The data consists of five simple x,y coordinate pairs from a gist, which are rendered as circles and connected by lines. The code uses D3’s `d3.forceSimulation` to compute node positions and collisions, with each node’s coordinates updated on every tick. The visualization is drawn using the Canvas API’s `getContext('2d')` and `clearRect` for animation, while the simulation’s `force` methods handle the layout. The final output is a static-looking snapshot at the end of the simulation, as no interaction or tweening is implemented.

AAdriU82
78% match
Loading thumbnail…

Fork of Canvas Force Tutorial

This example shows a force-directed network graph built from a CSV file of names and connection weights, rendered as circles and lines on an HTML5 Canvas. It uses d3.forceSimulation with forceX, forceY, forceCollide, forceManyBody, and forceLink to position the nodes, updating the canvas on each simulation tick via the `ctx` drawing context. The visualization reads data.csv asynchronously with d3.csv, constructs the node and link arrays, and then starts the simulation, with node radius fixed at 7 pixels.

Hherbertamakloe
77% match