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.tgz(r-4.4-any)sgsR_1.4.5.tgz(r-4.3-any)
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'))

Peer review:

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

On CRAN:

7.07 score 44 stars 33 scripts 298 downloads 45 exports 63 dependencies

Last updated 8 months agofrom:c6e7d71247. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

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 Nov 01 2024.

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

Sampling

Rendered fromsampling.Rmdusingknitr::rmarkdownon Nov 01 2024.

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

sgsR

Rendered fromsgsR.Rmdusingknitr::rmarkdownon Nov 01 2024.

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

Stratification

Rendered fromstratification.Rmdusingknitr::rmarkdownon Nov 01 2024.

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