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 (may not be active yet) |
| 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:
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