Visualize species distribution across reserve areas with interactive heatmaps and boundary polygons. WildSight AI reveals spatial patterns, habitat concentration, and conservation hotspots to support faster, data-driven ecological decisions.
Camera and acoustic detections cluster along the north river corridor, indicating a high-use movement lane and feeding zone for multiple focal species.
Occupancy drops near the southern boundary, where fragmented cover and road proximity likely reduce crossings and compress activity into safer interior patches.
Central woodland cells remain consistently occupied across surveys, suggesting resilient habitat conditions and a reliable baseline for long-term monitoring.
Refine the map by species, camera, and time range to isolate movement patterns, compare reserve zones, and surface conservation insights with precision.
Refine the map by species to reveal habitat use, hotspots, and movement patterns across reserve zones in WildSight AI.
Active: leopard, last 30 days
Switch camera groups to compare detection density, site performance, and coverage gaps across the reserve network.
Active: north cameras, all sites
Set the reporting window to track seasonal shifts, recent activity, and long-term trends in species presence.
Active: this quarter, dawn
Translate image-derived detections into spatial intelligence—analyze species distribution, identify movement corridors, and validate reserve-wide patterns with the same WildSight AI pipeline that powers your processing workflow.
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