1. Introduction | 2. Data Generation | 3. Probability Sampling Designs | 3.1 Simple Random Sampling | 3.2 Stratified Sampling | 3.3 Cluster Sampling | 3.4 Probability Proportional to Size (PPS) | 4. Non-Probability Sampling | 5. Estimation Methods | 5.1 Mean and Total Estimation | 5.2 Ratio and Regression Estimators | 5.3 Horvitz–Thompson Estimator | 5.4 Stratified Estimator | 6. NRM-Specific Applications | 6.1 Biomass and Carbon Estimation | 6.2 Soil Loss Estimation | 7. Sampling Efficiency | 8. Spatial Sampling (Optional) | 9. Recommended Workflow | 10. Conclusion | References
Package: NRMSampling 0.2.2
Sadikul Islam
NRMSampling: Sampling Design and Estimation Methods for Natural Resource Management
Provides functions for probability and non-probability sampling design, sample selection, and population estimation tailored to natural resource management. Probability methods include simple random sampling, stratified sampling, systematic sampling, cluster sampling, and probability-proportional-to-size sampling. Non-probability methods include convenience, judgement-based, and quota sampling. Estimation functions cover means, totals, ratio estimators, regression estimators, and the unequal-probability estimator of Horvitz and Thompson (1952, <doi:10.2307/2280784>) for unequal-probability designs. Utilities support biomass, soil-loss, and carbon-stock estimation from field plots. Spatial extensions provide random, systematic, stratified, and raster-weighted sampling within geographic polygons using the 'sf' and 'terra' packages, with extraction of remote-sensing covariates at sample locations. Applications include forest inventory, soil erosion monitoring, watershed studies, and ecological field surveys.
Authors:
NRMSampling_0.2.2.tar.gz
NRMSampling_0.2.2.tar.gz(r-4.7-any)NRMSampling_0.2.2.tar.gz(r-4.6-any)
NRMSampling_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NRMSampling/json (API)
| # Install 'NRMSampling' in R: |
| install.packages('NRMSampling', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- sample_nrm - Simulated NRM Plot Dataset
- sample_spatial - Simulated Spatial NRM Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e32b325c78. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 131 | ||
| source / vignettes | OK | 177 | ||
| linux-release-x86_64 | OK | 138 | ||
| wasm-release | OK | 103 |
Exports:biomass_estimatecarbon_stock_estimatecluster_sampleconvenience_sampleestimate_ciestimate_meanestimate_seestimate_totalestimate_varianceextract_raster_valuesht_estimatorht_varianceplot_samplingplot_sampling_ggplot_summarypps_samplepurposive_samplequota_sampleraster_pps_sampleraster_stratified_sampleratio_estimatorregression_estimatorsampling_efficiencysoil_loss_estimatespatial_biomass_estimatespatial_cluster_samplespatial_random_samplespatial_stratified_samplespatial_systematic_samplesrs_samplestratified_estimatorstratified_samplesystematic_sampleto_sf_points
Dependencies:
