New Zealand Journal of Forestry Science

Table 7 Nugget (τ²), sill (σ²), and range (ϕ) parameters for the selected semivariance function models for each of the variables in study

From: Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

Variables	Residual	Selected model	τ ²	σ ²	ϕ (m)	RAE	SRE
Basal area	MLR	Exponential	0.0016	0.0067	1350	− 0.0092	1.0818
	RF	Spherical	0.0004	0.0009	737	− 0.0079	1.0586
	SVM	Gaussian	0.0017	0.0037	1577	0.0089	0.9610
	ANN	Exponential	0.0000	0.0119	1430	− 0.0303	1.1393
Volume	MLR	Exponential	PNE	PNE	PNE	PNE	PNE
	RF	Spherical	0.3316	0.2505	773	− 0.0051	1.0258
	SVM	Exponential	0.0000	2.5582	858	− 0.0039	0.9958
	ANN	Exponential	PNE	PNE	PNE	PNE	PNE

MLR multiple linear regression, RF random forest, SVM support vector machine, ANN artificial neural networks, RAE reduced average error, SRE standard deviation of the reduced average error, PNE pure nugget effect

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