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🧪 Environmental Wildlife Protection Simulation

Run a virtual camera-trap grid across a wildlife reserve and watch the real MacKenzie occupancy model correct for imperfect detection — see how naive counts underestimate species presence and why survey effort matters for anti-poaching and habitat protection.

Animals & Their World2DModerate60 FPS📱 Mobile-adapted

Protecting endangered wildlife starts with knowing where the animals actually are — and that is harder than it sounds, because a camera or a ranger can walk right past a present animal and miss it. This simulation places a grid of camera traps across a virtual reserve, hides a true (unknown-to-you) occupancy pattern in the habitat, and runs repeated survey occasions where each occupied site has only a chance — the detection probability p — of being photographed on any given visit. A live implementation of the MacKenzie single-season occupancy model then estimates both the species' true occupancy and the detection probability from nothing but the resulting 0/1 detection histories, and you can compare its corrected estimate against the naive "sites with a photo" count and, when you're ready, against the hidden ground truth. This is the same statistical machinery real conservation NGOs use to decide where camera-trap grids and anti-poaching patrols are worth deploying.

⚙ Under the hood

This simulation explores the challenges of protecting endangered wildlife species. It demonstrates the importance of habitat conservation and anti-poaching efforts.

Wildlife ProtectionConservation

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install