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_1.4.5.tar.gz(r-4.5-noble)sgsR_1.4.5.tar.gz(r-4.4-noble)
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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:

Conda:

7.50 score 46 stars 34 scripts 388 downloads 45 exports 63 dependencies

Last updated 29 days agofrom:d29ed6d8d7. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-winNOTEMar 03 2025
R-4.5-macNOTEMar 03 2025
R-4.5-linuxNOTEMar 03 2025
R-4.4-winOKMar 03 2025
R-4.4-macOKMar 03 2025
R-4.3-winOKMar 03 2025
R-4.3-macOKMar 03 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 Mar 03 2025.

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

Sampling

Rendered fromsampling.Rmdusingknitr::rmarkdownon Mar 03 2025.

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

sgsR

Rendered fromsgsR.Rmdusingknitr::rmarkdownon Mar 03 2025.

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

Stratification

Rendered fromstratification.Rmdusingknitr::rmarkdownon Mar 03 2025.

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