Polygon collision with d3.forceSimulation

d3-force-cluster and d3-force-attract

Two hundred circles, shaded by cluster with a sequential rainbow scale, are positioned by a force simulation that combines `d3.forceAttract` to pull nodes toward the screen center and `d3.forceCluster` to group them into ten distinct clusters. The layout uses `d3.forceSimulation` with a custom `d3.forceCollide` whose strength ramps up over three seconds for a smooth transition. Each node is an SVG circle, rendered with `d3.drag` for interactive repositioning, while the tick handler updates the `cx`, `cy`, and `r` attributes. The data is generated randomly, with radii varying by cluster, and the example runs in the browser using D3 v4 and the `d3-force-attract` and `d3-force-cluster` plugins.

AAlainRo

80% match

Clustered Force Layout 4.0

This example shows a force-directed layout with 200 circles organized into 10 distinct clusters, each rendered in a different color from the `d3.schemeCategory20` palette. The circles are separated into their groups by the `clustering` custom force, while the `collide` function, which uses a quadtree, prevents overlap both within and between clusters. The visualization is built with D3 v4, uses the `d3.forceSimulation` API for physics, and renders via SVG. The `ticked` callback updates each circle’s `cx` and `cy` attributes as the simulation runs.

AAjayyy

80% match

Clustered Force Layout II

Ten clusters of colored circles drift and separate on a dark background, with each cluster gathering around its largest member while circles avoid overlapping. The visualization uses d3.layout.force with custom cluster and collide forces, leveraging d3.geom.quadtree for collision detection and d3.scale.category10 for colors. Data is procedurally generated in the browser, with 200 circles of varying radii across 10 groups, rendered as SVG elements.

Clustered Force Layout II

A clustered force layout renders 20 circles in four color-coded groups, with each group clustering around its largest member. The simulation uses a custom `cluster` force to pull nodes toward their group's anchor and a `collide` force with a quadtree to prevent overlapping circles. Built with D3 v3's `d3.layout.force`, circles are drawn as SVG elements with positions updated on each tick event. Custom gravity applies only to the largest node of each cluster, while other nodes repel based on inter-cluster padding.

SSpaceActuary

Cluster Force Layout IV

This example shows 200 circles grouped into 10 color-coded clusters, with node positions initialized using the d3.layout.pack circle-packing layout and then animated into a clustered force layout via d3.layout.force. The simulation applies a custom cluster function to pull same-color nodes together and a collide function using d3.geom.quadtree to resolve overlaps. Circles enter with a staggered radius transition via attrTween, and the force tick updates SVG circle positions. The data is generated randomly, with radii derived from a log distribution and clusters defined by a categorical color scale.

Collision Detection

A force-directed layout places 200 circles on an SVG canvas, with a fixed invisible root node at the center of a charge-based repulsion field. Mouse movement repositions this root, causing the surrounding circles to scatter and collide. Using the d3.layout.force simulation, a quadtree indexes nodes for efficient pairwise collision resolution, adjusting circle positions on each tick. The circles, whose radii vary randomly, are colored via d3.scale.category10 and loaded from an external CSV file, while the root’s position tracks the cursor to repel the swarm.

JJdlv00

Clustered Force Layout III

This example shows a clustered force layout where 200 circles are grouped into 10 color-coded clusters, with node sizes varying by cluster. D3’s force layout initializes nodes near their cluster’s center on a circular path, then applies custom cluster and collision forces during each tick to converge on a stable arrangement. An entry transition uses `transition.attrTween` to grow circle radii from zero, delaying collision detection to reduce jitter. The visualization is rendered as animated SVG using D3 v3, with data generated randomly via `Math.random` and `d3.scale.category10` for colors.

Collision Detection

A thousand circles of random radii are arranged into a tidy cluster, with d3.forceCollide preventing any overlap between them while d3.forceX and d3.forceY gently pull the whole group toward the center. The simulation runs on a fixed 960×960 canvas, where each tick clears the drawing and renders all circles as filled and stroked arcs. The code uses d3.forceSimulation with a velocity decay of 0.2, and draws the result directly via the Canvas 2D API.