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For procedural motion in the browser, draw geometry with Canvas 2D, update its state from a time-based animation loop, and control procedural randomness with a fixed seed when you need repeatable results. requestAnimationFrame() schedules work in step with browser rendering; it does not, by itself, make an animation deterministic.
How procedural motion is put together
A procedural scene is described by data and a drawing routine rather than a sequence of hand-authored frames. For a particle, that data might include position, velocity, radius, color, and other shape parameters. Each frame, the program updates the data and draws the resulting scene.
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The Canvas 2D API provides the drawing surface. Create a <canvas> element, obtain its 2D context, set its dimensions, and use the context to draw the particles or geometry. MDN’s basic Canvas animation tutorial demonstrates this workflow, including a particle array initialized with random values.
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Represent geometry and particles as state
Keep each element’s simulation state separate from the code that renders it. For example, a moving particle can store its position and velocity; a rotating shape might store its center, angle, and angular speed. The update step changes that state, while the drawing step translates the current values into canvas operations.
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This separation makes it easier to reproduce a scene: given the same initial state and the same time progression, the update logic can produce the same simulation state. MDN’s advanced animation tutorial illustrates motion using position, velocity, acceleration, and boundary checks. It also shows clearing the canvas and using translucent fills to leave trails.
Use browser timestamps to pace the animation
requestAnimationFrame() schedules a callback for an upcoming browser repaint. It is a one-shot request, so a continuing animation must request another frame from its callback. The callback receives a timestamp that should be used to calculate progress; advancing an object by a fixed amount once per callback makes its speed depend on how often the browser renders frames.
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Refresh rates differ, and callbacks are generally aligned with the display. Use elapsed time to keep motion paced consistently across displays rather than assuming a particular frame rate. MDN also notes that browsers commonly pause these callbacks in background tabs or hidden iframes, so animation time may not advance as if the page remained continuously visible. See MDN’s requestAnimationFrame() reference.
Elapsed-time updates
For simple motion, record the previous callback timestamp, compute the elapsed interval, and use that interval when updating positions or other changing values. Decide how to handle a large interval after a page has been hidden: applying it in one update can produce a visible jump, while capping it or resetting the time baseline avoids that jump but changes how the simulation relates to wall-clock time.
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Fixed-step updates
For simulations that benefit from consistent update increments, accumulate elapsed time and run the simulation in fixed-sized steps, then render the current state. This is an implementation choice rather than a guarantee supplied by the browser. Define what happens to excess accumulated time so that a delayed frame does not trigger an unbounded series of updates.
Make procedural choices reproducible
Time-based scheduling and deterministic output are different goals. A browser timestamp helps pace an animation, but procedural choices made with Math.random() will vary from run to run. MDN’s basic particle example uses Math.random(); it does not provide a seeded random generator or claim that its output is reproducible.
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If repeatability matters, use a seeded pseudo-random generator for choices such as initial positions, sizes, and colors. Treat the seed as an input, and make random draws in a stable order. Combine those inputs with a defined time model—elapsed-time updates or fixed simulation steps—to make the same simulation state reproducible for the same seed and time progression.
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Choose how each frame is drawn
- Clear for crisp motion: Clear the canvas before drawing the current scene so objects do not leave previous images behind.
- Fade for trails: Paint a translucent rectangle over the previous image instead of fully clearing it. The remaining image creates motion trails; the opacity determines how quickly they fade.
Both approaches appear in MDN’s advanced animation example. Choose based on the intended visual effect, not as a substitute for updating state correctly.
Handle canvas sizing and resizing deliberately
The canvas backing dimensions define the drawing area. MDN’s basic example sets the canvas width and height from the viewport and demonstrates resize handling. Decide whether your scene uses viewport-relative coordinates, a fixed logical coordinate system, or another mapping; then apply that choice consistently when dimensions change.
Also decide whether resizing should preserve the current simulation state or reinitialize the scene. Reinitializing can change procedural values unless the seed and initialization order are controlled. Preserving state requires an explicit policy for mapping existing coordinates into the resized drawing area.
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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsWhat determinism does—and does not—promise
- Repeatable inputs: A fixed seed and stable initialization order can reproduce procedural choices.
- Repeatable simulation: A defined update model can reproduce state for the same inputs and time progression.
- Identical browser pixels: This is a stronger claim. The cited Canvas and animation references do not establish identical rendering across browsers or devices.
There is no universal particle-count limit established by these references. Practical performance depends on the scene and runtime environment, so test the actual workload on the devices and browsers you need to support.
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