# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "NRMSampling" in publications use:' type: software license: GPL-3.0-or-later title: 'NRMSampling: Sampling Design and Estimation Methods for Natural Resource Management' version: 0.2.2 doi: 10.32614/CRAN.package.NRMSampling abstract: 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, ) 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: - family-names: Islam given-names: Sadikul email: sadikul.islamiasri@gmail.com orcid: https://orcid.org/0000-0003-2924-7122 repository: https://cran.r-universe.dev commit: e32b325c78f7d48a7db2b795077e2497aa6bfe9b date-released: '2026-04-22' contact: - family-names: Islam given-names: Sadikul email: sadikul.islamiasri@gmail.com orcid: https://orcid.org/0000-0003-2924-7122