Intelligent habitat classification
The future of plant community ecology
The future of plant community ecology
Intelligent clustering algorithms are applied to the global photo-quadrat dataset to classify earth's habitats in greater detail than ever before.
Collecting hundreds more samples per site and obtaining consistent species abundance estimates bring unprecedented accuracy, robustness, and reliability to community ecology.
Habitat classification is guided by empirical species data, using well-established ordination and clustering techniques from community ecology. Habitat AI generates ordination plots, cluster dendrograms, indicator species values and confusion matrices.
Habitat AI offers a global spatial overview of classified habitats, mapping similarity scores from the analysis to enhance ecological understanding.