predictions.gr: A named vector containing timber volume predictions based on...
In AndreasChristianHill/classoptimr: Optimal classification schemes for prediction models with continuous response variable
Description
Usage
Format
References
Description
A named vector containing timber volume predictions based on a multiple linear regression model
for each terrestrial observed timber volume stored in refdata.gr.
Usage
1
Format
An object of class numeric of length 67.
References
Hill, A., Breschan, J., & Mandallaz, D. (2014). Accuracy assessment of timber
volume maps using forest inventory data and LiDAR canopy height models.
Forests, 5(9), 2253-2275.
AndreasChristianHill/classoptimr documentation built on May 29, 2019, 12:23 p.m.
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Description Usage Format References
Description
A named vector containing timber volume predictions based on a multiple linear regression model
for each terrestrial observed timber volume stored in refdata.gr.
Usage
1 |
Format
An object of class numeric of length 67.
References
Hill, A., Breschan, J., & Mandallaz, D. (2014). Accuracy assessment of timber volume maps using forest inventory data and LiDAR canopy height models. Forests, 5(9), 2253-2275.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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