Other packages > Find by keyword >

sgsR  

Structurally Guided Sampling
View on CRAN: Click here


Download and install sgsR package within the R console
Install from CRAN:
install.packages("sgsR")

Install from Github:
library("remotes")
install_github("cran/sgsR")

Install by package version:
library("remotes")
install_version("sgsR", "1.5.0")



Attach the package and use:
library("sgsR")
Maintained by
Tristan RH Goodbody
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-24
Latest Update: 2025-06-18
Description:
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.
How to cite:
Tristan RH Goodbody (2022). sgsR: Structurally Guided Sampling. R package version 1.5.0, https://cran.r-project.org/web/packages/sgsR. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:03), 1.0.0 (2022-06-24 10:20), 1.2.0 (2022-08-07 08:10), 1.3.1 (2022-10-14 10:50), 1.3.2 (2022-11-19 13:40), 1.3.3 (2023-01-17 10:40), 1.3.4 (2023-01-28 00:20), 1.4.0 (2023-02-09 10:50), 1.4.2 (2023-03-10 22:50), 1.4.4 (2023-06-13 09:00), 1.4.5 (2024-03-03 16:10)
Other packages that cited sgsR R package
View sgsR citation profile
Other R packages that sgsR depends, imports, suggests or enhances
Complete documentation for sgsR
Functions, R codes and Examples using the sgsR R package
Some associated functions: allocating . calculate_allocation . calculate_allocation_existing . calculate_coobs . calculate_distance . calculate_lhsOpt . calculate_pcomp . calculate_pop . calculate_representation . calculate_sampsize . check_existing . coords_existing . extract_metrics . extract_strata . masking . matrices . plot . prepare_existing . rules . sample_ahels . sample_balanced . sample_clhs . sample_existing . sample_existing_balanced . sample_existing_clhs . sample_existing_srs . sample_existing_strat . sample_nc . sample_srs . sample_strat . sample_sys_strat . sample_systematic . sgsR-package . strat_breaks . strat_kmeans . strat_map . strat_poly . strat_quantiles . take_samples . vectorize . write . 
Some associated R codes: calculate_allocation.R . calculate_allocation_existing.R . calculate_coobs.R . calculate_distance.R . calculate_lhsOpt.R . calculate_pcomp.R . calculate_pop.R . calculate_representation.R . calculate_sampsize.R . extract_metrics.R . extract_strata.R . sample_ahels.R . sample_balanced.R . sample_clhs.R . sample_existing.R . sample_existing_balanced.R . sample_existing_clhs.R . sample_existing_srs.R . sample_existing_strat.R . sample_nc.R . sample_srs.R . sample_strat.R . sample_sys_strat.R . sample_systematic.R . sgsR-package.R . strat_breaks.R . strat_kmeans.R . strat_map.R . strat_poly.R . strat_quantiles.R . utils-allocation-existing.R . utils-allocation.R . utils-existing.R . utils-mask.R . utils-mat.R . utils-plot.R . utils-samplerules.R . utils-vectorization.R . utils-write.R . zzz.R .  Full sgsR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA