Compositionvary

Compositionvary is a coined term used in generative design and digital art to describe the degree and pattern of variation in component composition across a work or dataset. It captures how the mix of constituent elements—such as colors, textures, materials, sounds, or spatial features—changes across space, time, or layered structure.

Formalization and measurement

Compositionvary can be quantified using metrics that reflect distribution and change. Common measures include the spatial variance of component proportions, the magnitude of composition gradients, and entropy of regional compositions. In procedural workflows, compositionvary is often parameterized as a control variable or as a function that maps regions or steps to different element mixes. Higher values typically indicate more pronounced local differences, while lower values correspond to uniform composition.

Applications

In visual art and architecture, compositionvary guides how color or material finishes shift across a canvas or surface. In music and sound design, it informs how timbre, instrument density, or rhythmic emphasis varies over a piece. In computational simulations and product design, compositionvary helps model or generate materials with graded properties, such as alloys with spatially varying compositions or textures that transition between regions.

Examples

A generative mural might set compositionvary to 0.3 for gentle left-to-right transition, while a dynamic scene could adjust it over time to produce evolving variation. A textile design could use a high compositionvary value to create bold, multi-region blends.

See also

Gradient, spatial variance, entropy, procedural generation, compositional variation.