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.
If you aren’t working with ALS data, any remote sensing data sets in a raster format (e.g. optical satellite imagery, climate data, drone-based products) can be used as inputs to help guide your environmental sampling needs.
sgsR is being actively developed, so you may encounter bugs. If that happens, please report your issue here by providing a reproducible example.
Install the stable version of
sgsR from CRAN with:
Install the most recent development version of
sgsR from Github with:
#--- Load mraster files ---# r <- system.file("extdata", "mraster.tif", package = "sgsR") #--- load the mraster using the terra package ---# mraster <- terra::rast(r) #--- apply quantiles algorithm to mraster ---# sraster <- strat_quantiles(mraster = mraster$zq90, # use mraster as input for stratification nStrata = 4) # produce 4 strata #--- apply stratified sampling ---# existing <- sample_strat(sraster = sraster, # use sraster as input for sampling nSamp = 200, # request 200 samples mindist = 100, # samples must be 100 m apart plot = TRUE) # plot output
Check out the online documentation to see how
sgsR functions and how you might use it for your work!
We are thankful for continued collaboration with academic, private industry, and government institutions to help improve
sgsR. Special thanks to to:
|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||Swedish University of Agricultural Sciences|
|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 Consultants Ltd.|
|Jean-Francois Prieur||Université de Sherbrooke|
|Murray Woods||(Retired) Ministry of Northern Development, Mines, Natural Resources and Forestry|
Development of sgsR was made possible thanks to the financial support of the Canadian Wood Fibre Centre’s Forest Innovation Program.