The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

Goodbody TR, Coops NC, Queinnec M, White JC, Tompalski P, Hudak AT, Auty D, Valbuena R, LeBoeuf A, Sinclair I, McCartney G, Prieur J, Woods ME (2023). sgsR: a structurally guided sampling toolbox for LiDAR-based forest inventories.. doi:10.1093/forestry/cpac055.

Goodbody TR, Coops NC, Queinnec M (2024). Structurally Guided Sampling. R package version 1.4.5, https://cran.r-project.org/package=sgsR.

Corresponding BibTeX entries:

  @Manual{,
    title = {sgsR: a structurally guided sampling toolbox for
      LiDAR-based forest inventories.},
    author = {Tristan R.H. Goodbody and Nicholas C. Coops and Martin
      Queinnec and Joanne C. White and Piotr Tompalski and Andrew T.
      Hudak and David Auty and Ruben Valbuena and Antoine LeBoeuf and
      Ian Sinclair and Grant McCartney and Jean-Francois Prieur and
      Murray E. Woods},
    journal = {Forestry: An International Journal of Forest Research},
    year = {2023},
    doi = {10.1093/forestry/cpac055},
  }
  @Manual{,
    title = {Structurally Guided Sampling},
    author = {Tristan RH Goodbody and Nicholas C Coops and Martin
      Queinnec},
    year = {2024},
    note = {R package version 1.4.5},
    url = {https://cran.r-project.org/package=sgsR},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.