Species Distribution Model
Place known occurrence markers on a 3D landscape, watch a species distribution model learn the multivariate niche (temperature, precipitation, elevation, vegetation) at those points, then project a live habitat-suitability heatmap across the whole terrain and inspect any location's individual variables vs. its combined score.
This simulator builds a species distribution model (SDM) from scratch, interactively. Place occurrence markers where a species has supposedly been recorded across a landscape whose temperature, precipitation, elevation and vegetation all vary in space. The model averages the environmental readings at those known points into a learned "niche," then projects that niche as a live suitability heatmap across every other location on the terrain — including spots that were never marked. A location inspector lets you click any point to compare its individual variable values against the model's combined score, showing why no single variable ever tells the whole story on its own.
Place known occurrence markers on a 3D landscape and watch a species distribution model learn the multivariate niche (temperature, precipitation, elevation, vegetation) at those points, then project a live habitat-suitability heatmap across the whole terrain and inspect any location's individual variables next to its combined score.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install