Examination of the Effects of Curvature in Geometrical Space on Accuracy of Scaling Derived Projections of Plant Biomass Units: Applications to the Assessment of Average Leaf Biomass in Eelgrass Shoots

Table 3

Assessment of geometrical space fitted models. Comparison took into account goodness-of-fit statistics, that is, the coefficient of determination (R²) standard error of estimate (SEE), mean prediction error (MPE), total relative error (TRE), average systematic error (ASE), and mean percent standard error (MPSE) ([63–65]). Besides, we considered concordance correlation coefficient [61] and Akaike’s information index (AIC) [66].

Method	AIC		R^2	SEE	TRE	ASE	MPE	MPSE
TAMA	15069.9	0.9505	0.9045	0.5135	-0.0286	-0.2462	-0.1879	5.7877
Biphasic	12578.0	0.9614	0.9256	0.4530	0.0037	0.0286	-0.1658	5.1446
Polynomial	12615.0	0.9614	0.9241	0.4576	0.8497	1.2008	-0.1675	5.3187