Enhancing predictive performance for spectroscopic studies in wildlife science through a multi-model approach: A case study for species classification of live amphibians
Fig 2
Principal component analysis scores plots for the transformed NIR spectra (700–2500 nm).
A) PCA scores plot including all 11 species indicates distinct patterns between taxonomic orders, with greater spectral differences observed among species belonging to different orders than within orders. Inset: PCA loadings (700–2500 nm) highlighting the dominant peaks that explain the trends present in the scores plot: PC-1 (59%) and PC-2 (33%) explained 92% of database variance. B) PCA scores plot including only the seven anuran species. PC-1 (51%) and PC-2 (31%) explained 82% of the database variance. C) PCA scores plot including only the four caudate species indicate that greater biochemical differences occur between genera than within. PC-1 (79%) and PC-2 (14%) explained 93% of database variance.