@mindpeeker/fieldSymbolic & spatial
Field
Point fields tested against complete spatial randomness: attractors and voids with calibrated whole-field p-values, Ripley's K and Clark–Evans.
Draw a point field from the selected entropy source and ask whether it holds any order. A field from a good RNG is complete spatial randomness, so its “attractors” are the chance clustering every random field shows: each hotspot gets an exact single-point tail and a calibrated whole-field Monte-Carlo p, and the page says which is which. Ripley's K with four edge corrections, global envelope tests, quadrats, Clark–Evans, a kernel-density attractor with the chance baseline the open Randonaut ports never report, Kulldorff's scan statistic, and exact spherical samplers that turn the same bytes into coordinates.
Loading the demo — every computation runs in your browser.