Sampling Design and Estimation Methods for Natural Resource Management


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Documentation for package ‘NRMSampling’ version 0.2.2

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NRMSampling-package NRMSampling: Sampling Design and Estimation for Natural Resource Management
biomass_estimate Biomass Estimation from Field Plots
carbon_stock_estimate Carbon Stock Estimation
cluster_sample Cluster Sampling
convenience_sample Convenience Sampling
estimate_ci Confidence Interval for the Population Mean
estimate_mean Sample Mean
estimate_se Standard Error of the Sample Mean
estimate_total Population Total Estimator
estimate_variance Sample Variance
extract_raster_values Extract Raster Values at Sample Points
ht_estimator Horvitz-Thompson (HT) Estimator
ht_variance Variance of the Horvitz-Thompson Estimator
NRMSampling NRMSampling: Sampling Design and Estimation for Natural Resource Management
plot_sampling Plot Sample Points (Base Graphics)
plot_sampling_gg Plot Sample Points with ggplot2
plot_summary Summary Statistics for a Sampled NRM Plot Dataset
pps_sample PPS Sampling
purposive_sample Purposive (Judgement) Sampling
quota_sample Quota Sampling
raster_pps_sample Raster-Weighted PPS Spatial Sampling
raster_stratified_sample Raster-Stratified Spatial Sampling
ratio_estimator Ratio Estimator
regression_estimator Regression Estimator
sample_nrm Simulated NRM Plot Dataset
sample_spatial Simulated Spatial NRM Dataset
sampling_efficiency Sampling Efficiency Comparison
soil_loss_estimate Soil Loss Estimation from Sample Plots
spatial_biomass_estimate Spatial Biomass Estimation from sf Points
spatial_cluster_sample Spatial Cluster Sampling
spatial_random_sample Spatial Random Sampling within a Polygon
spatial_stratified_sample Stratified Spatial Sampling
spatial_systematic_sample Systematic Grid Sampling within a Polygon
srs_sample Simple Random Sampling
stratified_estimator Stratified Mean Estimator
stratified_sample Stratified Sampling
systematic_sample Systematic Sampling
to_sf_points Convert a Data Frame to an sf Point Object