Package index

Package Overview

Overview of the soilsampling package

soilsampling-package soilsampling

soilsampling: Design and Optimization of Soil Sampling Schemes

Sampling Methods

Functions for generating sampling designs

ss_random()

Simple Random Sampling

ss_stratified()

Stratified Random Sampling

ss_coverage()

Spatial Coverage Sampling

ss_coverage_equal_area()

Spatial Coverage Sampling with Equal-Area Strata

ss_composite()

Composite Sampling

ss_maxvol()

Maxvol Optimal Design Sampling

ss_get_samples()

Get Samples as sf Object

Stratification

Functions for creating and analyzing spatial strata

ss_stratify()

Create Spatial Strata for Soil Sampling

ss_n_strata()

Get Number of Strata

ss_area()

Get Area of Each Stratum

ss_relative_area()

Get Relative Area of Each Stratum

ss_coverage_efficiency()

Assess Coverage Efficiency of Stratification

ss_distance_summary()

Compute Distance Summary Statistics by Stratum

Visualization

Plotting functions

ss_plot()

Plot Stratification

ss_plot_samples()

Plot Sampling Points

plot(<ss_samples>)

Plot Method for ss_samples Objects

plot(<ss_strata>)

Plot Method for ss_strata Objects

Utilities

Helper functions and conversion utilities

ss_to_sf()

Convert to sf Object

ss_to_data_frame()

Convert to Data Frame

ss_summary()

Create Summary Statistics Table

ss_n_samples()

Get Number of Samples

S3 Methods

Standard S3 methods for package objects

summary(<ss_samples>)

Summary Method for ss_samples Objects

summary(<ss_strata>)

Summary Method for ss_strata Objects

ss_summary.maxvol()

Summary Method for Maxvol Sampling Results

print(<ss_samples>)

Print Method for ss_samples Objects

print(<ss_strata>)

Print Method for ss_strata Objects

print(<ss_coverage_efficiency>)

Print Method for ss_coverage_efficiency Objects

KL Sample Size Optimization

Sample size optimization for cLHS based on KL divergence

ss_load_rasters()

Load Predictor Rasters

ss_kl_divergence()

KL Divergence Between Population and Sample Distributions

ss_kl_optimize()

Optimize cLHS Sample Size Using KL Divergence

ss_kl_size()

End-to-End cLHS Sample Size Optimization

ss_kl_save_plots()

Save KL Optimization Plots

cLHS + Random Forest Optimization

cLHS baseline sampling refined by Random Forest simulated annealing

ss_clhs_sample()

Conditioned Latin Hypercube Sampling From a Raster Stack

ss_rf_mse()

Cross-Validated Random Forest MSE for a Sample Design

ss_rf_optimize()

Optimize a Sample Design With Random Forest Simulated Annealing

ss_rf_size()

End-to-End cLHS + Random Forest Sampling Optimization

Alternative Site Selection

Environmentally similar alternative sites for inaccessible locations

ss_alt_similarity()

Environmental Similarity Between a Target Site and Candidate Sites

ss_alt_candidates()

Generate Candidate Sites for Alternative Site Selection

ss_alt_filter_buffer()

Exclude Candidate Sites Within a Distance Buffer of Target Sites

ss_alt_rank()

Rank and Select the Top Similar Alternative Sites

ss_alt_standardize_sites()

Standardize Site Coordinate Data

ss_alt_sites()

Find Alternative Sampling Sites for Inaccessible Locations