Skip to main content
USGS - science for a changing world

Fitting forestry models using generalized additive models: a taper model example

Dates

Year
2011

Citation

Robinson, Andrew P., Lane, Stephen E., and Thérien, Guillaume, 2011, Fitting forestry models using generalized additive models: a taper model example: Canadian Journal of Forest Research, v. 41, no. 10, p. 1909-1916.

Summary

Nonparametric and semiparametric modelling methods are commonly applied in many fields. However, such methods have not been widely adopted in forestry, other than the most similar neighbour and nearest neighbor methods. Generalized additive modelling is a flexible semiparametric regression method that is useful when model-based prediction is the main goal and the parametric form of the model is unknown and possibly complex. Routines to fit generalized additive models (GAMs) are now readily available in much statistical software, making them an attractive option for forest modelling. Here, the use of GAMs is demonstrated by the construction of a taper model for six tree species in British Columbia, Canada. We compare the results with [...]

Contacts

Tags

Categories
Types

Provenance

Data source
File Processing
File Process
Type
End Note
Reference Item
NWBLCC 20160616
Reference File
NWBLCC-20160527.xml

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.1139/x11-095
ISSN http://sciencebase.gov/vocab/identifierScheme 00455067

Citation Extension

journalCanadian Journal of Forest Research
parts
typeNotes
value3734
typePages
value1909-1916
typeVolume
value41
typeNumber
value10
citationTypeJournal Article

Item Actions

View Item as ...

Save Item as ...