Camera-Trap Occupancy Survey
Interactive camera-trap occupancy monitoring simulator: deploy sensors across a landscape grid, run repeated survey occasions with imperfect detection, and watch the naive count under-estimate true species occupancy while the MacKenzie-style detection-corrected estimator closes the gap.
Ecosystem monitoring rarely means watching every animal directly — instead, ecologists scatter sensors (camera traps, acoustic recorders, eDNA samplers) across a landscape and run repeated "occasions," accepting that any single visit will miss animals that are really there. This simulator lays a grid of habitat cells with a hidden, ground-truth occupancy pattern, deploys a configurable network of camera traps across it, and runs a live single-season occupancy survey: each occasion, occupied camera sites are detected only with probability p, so the naive tally of "sites with at least one hit" consistently under-counts the true occupied fraction. A detection-corrected estimator — the same closed-form correction used in real MacKenzie-style occupancy models — is recomputed after every occasion so you can watch it converge on the truth as survey effort accumulates.
Deploy a network of camera traps across a landscape grid and run a live single-season occupancy survey, watching the naive detection count under-estimate true species occupancy while a MacKenzie-style detection-corrected estimator converges on the truth.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install