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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.

Versions across snapshots

VersionRepositoryFileSize
0.2.2 rolling linux/noble R-4.5 NRMSampling_0.2.2.tar.gz 145.3 KiB
0.2.2 rolling source/ R- NRMSampling_0.2.2.tar.gz 49.4 KiB
0.2.2 rolling linux/jammy R-4.5 NRMSampling_0.2.2.tar.gz 145.6 KiB
0.2.2 latest linux/jammy R-4.5 NRMSampling_0.2.2.tar.gz 145.6 KiB
0.2.2 latest linux/noble R-4.5 NRMSampling_0.2.2.tar.gz 145.3 KiB
0.2.2 latest source/ R- NRMSampling_0.2.2.tar.gz 49.4 KiB
0.2.2 2026-04-26 source/ R- NRMSampling_0.2.2.tar.gz 49.4 KiB
0.2.2 2026-04-23 source/ R- NRMSampling_0.2.2.tar.gz 49.4 KiB

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