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🗺️ GIS-Based Apiary Site Selection Methodology

An interactive 3D suitability-surface model of GIS-based apiary site selection: weight forage, water, terrain slope and risk factors and watch the scored landscape update live.

Biology3DAdvanced60 FPS💧 Water 🌍 Earth

A raster suitability surface for placing beehives: candidate sites are scored on forage access, water proximity, terrain flatness and distance from risk zones, then rendered as a scored 3D landscape of colored columns.

🔬 What It Demonstrates

Each grid cell's height and color encode a weighted-overlay suitability score, the same core method GIS practitioners use to rank apiary sites objectively across floral, hydrological, topographic and risk layers.

🎮 How to Use

Adjust the four factor-weight sliders to see the scored landscape reshape in real time, toggle the top-15% filter to isolate the best cluster of sites, and randomize the landscape to test the methodology on a new terrain.

💡 Did You Know?

Real GIS apiary-siting studies often stack dozens of raster layers — floral resource indices from land-cover classification, digital elevation models, and pesticide-use registries — before running a weighted overlay like this one.

⚙ Under the hood

An interactive 3D suitability-surface model of GIS-based apiary site selection: weight forage, water, terrain slope and risk factors and watch the scored landscape update live.

beesapiarygisland suitabilityenvironmental sciencelandscape modelingThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install