Package: sgsR 1.4.5
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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:
sgsR_1.4.5.tar.gz
sgsR_1.4.5.zip(r-4.5)sgsR_1.4.5.zip(r-4.4)sgsR_1.4.5.zip(r-4.3)
sgsR_1.4.5.tgz(r-4.5-any)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)
sgsR_1.4.5.tgz(r-4.4-emscripten)sgsR_1.4.5.tgz(r-4.3-emscripten)
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
Last updated 12 months agofrom:c6e7d71247. Checks:5 OK, 3 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 30 2025 |
R-4.5-win | NOTE | Jan 30 2025 |
R-4.5-mac | NOTE | Jan 30 2025 |
R-4.5-linux | NOTE | Jan 30 2025 |
R-4.4-win | OK | Jan 30 2025 |
R-4.4-mac | OK | Jan 30 2025 |
R-4.3-win | OK | Jan 30 2025 |
R-4.3-mac | OK | Jan 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.Rmd
usingknitr::rmarkdown
on Jan 30 2025.Last update: 2023-06-09
Started: 2022-01-27
Sampling
Rendered fromsampling.Rmd
usingknitr::rmarkdown
on Jan 30 2025.Last update: 2023-03-06
Started: 2022-01-27
sgsR
Rendered fromsgsR.Rmd
usingknitr::rmarkdown
on Jan 30 2025.Last update: 2023-02-08
Started: 2022-01-27
Stratification
Rendered fromstratification.Rmd
usingknitr::rmarkdown
on Jan 30 2025.Last update: 2023-02-08
Started: 2022-01-27