d3-layouts-hierarchies

Tree layouts in D3 use d3.hierarchy to normalize hierarchical data, then apply layout algorithms like d3.tree or d3.cluster to compute node positions. Pass your nested data structure through d3.hierarchy, call the layout function, and render the positioned nodes and links to SVG for org charts, dendrograms, and node-link diagrams.

Force-directed networks use d3.forceSimulation to iteratively position nodes based on repulsive and attractive forces. Configure the simulation with d3.forceManyBody for repulsion, d3.forceLink for edge attraction, and d3.forceCenter for centering. Tune alpha decay and force strength parameters to balance convergence speed and final layout quality.

Voronoi diagrams partition space into regions closest to each point; Delaunay triangulation connects points with non-overlapping triangles. Use Voronoi for proximity-based interaction, heat maps, or spatial queries. Use Delaunay for mesh generation, collision detection, or spatial relationships when you need dual geometric guarantees.

Optimize hierarchical visualizations with quadtrees for spatial indexing to reduce collision checks in force simulations. Use data normalization with d3.hierarchy to flatten computation. For rendering, choose canvas over SVG for thousands of nodes, implement culling to skip off-screen elements, and update only changed portions during interactions.

Yes. D3 provides d3.treemap for rectangular partitions, d3.partition for layered hierarchies, and d3.pack for circle packing. Each normalizes hierarchical data with d3.hierarchy, then computes spatial coordinates. Render the positioned rectangles, arcs, or circles to create space-filling visualizations of tree structures.

Tree layouts impose a strict parent-child hierarchy with predetermined positions; ideal for organizational structures and taxonomies. Force-directed layouts use physics simulation to balance repulsion and attraction; better for discovering relationships and handling cyclic or loosely structured networks where hierarchy is implied rather than strict.