DesignComparison

Provides tools for comparing different sampling designs based on coverage, efficiency, and spatial representativeness.

Details

The DesignComparison class implements:

• Comparison metrics: Coverage (MSSD), Efficiency, Representativeness

• Statistical testing: Wilcoxon rank-sum test, t-test

• Spatial cross-validation for design assessment

Methods

Public methods

• DesignComparison$new()

• DesignComparison$compare_designs()

• DesignComparison$perform_statistical_test()

• DesignComparison$cross_validate_design()

• DesignComparison$clone()

---

Method new()

Usage

DesignComparison$new(config = list())

Arguments

config

Optional configuration list Compare Multiple Designs

---

Method compare_designs()

Usage

DesignComparison$compare_designs(designs, field_data, true_values = NULL)

Arguments

designs

List of sf objects representing different sampling designs

field_data

Field data (SpatRaster or list with boundary/covariates)

true_values

Optional raster of true values for validation (if available)

Returns

List containing comparison results and metrics Perform Statistical Test Between Two Designs

---

Method perform_statistical_test()

Usage

DesignComparison$perform_statistical_test(
  design1_metrics,
  design2_metrics,
  test_type = "wilcoxon"
)

Arguments

design1_metrics

Vector of metric values for design 1

design2_metrics

Vector of metric values for design 2

test_type

"wilcoxon" or "t-test"

Returns

Test result (htest object) Spatial Cross-Validation for Design Assessment

---

Method cross_validate_design()

Usage

DesignComparison$cross_validate_design(design, field_data, k = 5)

Arguments

design

sf object of sampling locations

field_data

Field data

k

Number of folds

Returns

CV performance metrics

---

Method clone()

The objects of this class are cloneable with this method.

Usage

DesignComparison$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.