Package: sgsR 1.4.5

sgsR: Structurally Guided Sampling

Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.

Authors:Tristan RH Goodbody [aut, cre, cph], Nicholas C Coops [aut], Martin Queinnec [aut]

sgsR_1.4.5.tar.gz
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sgsR.pdf |sgsR.html✨
sgsR/json (API)
NEWS

# Install 'sgsR' in R:
install.packages('sgsR', repos = c('https://tgoodbody.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tgoodbody/sgsr/issues

Pkgdown site:https://tgoodbody.github.io

On CRAN:

7.09 score 45 stars 34 scripts 300 downloads 45 exports 63 dependencies

Last updated 12 months agofrom:c6e7d71247. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-winNOTEJan 30 2025
R-4.5-macNOTEJan 30 2025
R-4.5-linuxNOTEJan 30 2025
R-4.4-winOKJan 30 2025
R-4.4-macOKJan 30 2025
R-4.3-winOKJan 30 2025
R-4.3-macOKJan 30 2025

Exports:ahels_nSampahels_thresholdallocate_equalallocate_existingallocate_existing_equalallocate_existing_manualallocate_existing_optimallocate_existing_propallocate_forceallocate_manualallocate_optimallocate_propcalculate_allocationcalculate_coobscalculate_distancecalculate_lhsOptcalculate_pcompcalculate_popcalculate_representationcalculate_sampsizeclassPlotextract_metricsextract_stratamask_accessmask_existingmat_covmat_covNBmat_quantplot_scattersample_ahelssample_balancedsample_clhssample_existingsample_ncsample_srssample_stratsample_sys_stratsample_systematicstrat_breaksstrat_kmeansstrat_mapstrat_polystrat_quantilesstrat_rule1strat_rule2

Dependencies:BalancedSamplingclassclassIntclhscliclustercolorspacecpp11DBIdeldirdplyre1071fansifarvergenericsggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpolyclipproxypurrrR6rasterRColorBrewerRcppRcppArmadilloreshape2rlangs2SamplingBigDatascalessfspspatstat.dataspatstat.geomspatstat.univarspatstat.utilsstringistringrterratibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk

Calculating

Rendered fromcalculating.Rmdusingknitr::rmarkdownon Jan 30 2025.

Last update: 2023-06-09
Started: 2022-01-27

Sampling

Rendered fromsampling.Rmdusingknitr::rmarkdownon Jan 30 2025.

Last update: 2023-03-06
Started: 2022-01-27

sgsR

Rendered fromsgsR.Rmdusingknitr::rmarkdownon Jan 30 2025.

Last update: 2023-02-08
Started: 2022-01-27

Stratification

Rendered fromstratification.Rmdusingknitr::rmarkdownon Jan 30 2025.

Last update: 2023-02-08
Started: 2022-01-27