sgsR is designed to implement structurally guided sampling approaches
for enhanced forest inventories. The package was designed to function
using rasterized airborne laser scanning (ALS; Lidar) metrics to allow
for stratification of forested areas based on structure.
You can install the released version of sgsR from Github with:
install.packages("devtools")
devtools::install_github("https://github.com/tgoodbody/sgsR")
library(sgsR)-
Describe package fundamentals -
vignette("sgsR") -
Overview of sampling algorithms -
vignette("sampling") -
Overview of stratification algorithms -
vignette("stratification") -
Overview of calculate algorithms -
vignette("calculating")
We are thankful for continued collaboration with academic, private
industry, and government institutions to help improve sgsR. Special
thanks to to:
| Collaborator | Affiliation |
|---|---|
| Martin Queinnec | University of British Columbia |
| Joanne C. White | Canadian Forest Service |
| Piotr Tompalski | Canadian Forest Service |
| Andrew T. Hudak | United States Forest Service |
| Ruben Valbuena | Bangor University |
| Antoine LeBoeuf | Ministère des Forêts, de la Faune et des Parcs |
| Ian Sinclair | Ministry of Northern Development, Mines, Natural Resources and Forestry |
| Grant McCartney | Forsite Consulting |
| Jean-Francois Prieur | Laurentian Forestry Centre |
| Murray Woods | Ontario Ministry of Natural Resources |
Development of sgsR was made possible thanks to the financial support of the Canadian Wood Fibre Centre’s Forest Innovation Program.