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.
| Version: |
0.2.2 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stats, utils |
| Suggests: |
sf (≥ 1.0.0), terra (≥ 1.7.0), ggplot2 (≥ 3.4.0), dplyr (≥ 1.1.0), testthat (≥ 3.0.0), knitr (≥ 1.40), rmarkdown (≥
2.18), covr, spelling |
| Published: |
2026-04-22 |
| DOI: |
10.32614/CRAN.package.NRMSampling |
| Author: |
Sadikul Islam 
[aut, cre] |
| Maintainer: |
Sadikul Islam <sadikul.islamiasri at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
NEWS |
| CRAN checks: |
NRMSampling results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=NRMSampling
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.