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This analysis represents the first attempt to incorporate the impact of genetic gain for wood density into existing wood density models that themselves are implemented within the Forecaster growth and yield modelling system.
The velocity and density models are the same as with the simulation model.
The density models use local parameters to calibrate them to particular sites or stands.
Continuous density models were used as the feature set is inherently continuous in nature.
Table 2 Parameter estimates and their standard errors for the wood density models given by Eqs.
Results showed the spatial GLM had better prediction performance than the density models.
The method transforms 3D spherical density models into gravitational potential fields using a spherical harmonic representation.
Density results and computational efficiency are compared to other density models.
For the breast-height radial density models, this parameter is calculated from the density at a specified ring number.
There are many cluster models that include connectivity model, centroid based models, distribution models, density models, graph based models, etc.
For a higher altitude, a higher value is anticipated: existing density models become more uncertain with increasing altitude.
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