VisualizationService

Service for generating ML-specific visualizations including uncertainty maps, feature importance plots, and design comparisons.

Public fields

config_manager

Configuration manager instance Initialize Visualization Service

Methods

Public methods

• VisualizationService$new()

• VisualizationService$plot_uncertainty_map()

• VisualizationService$plot_feature_importance()

• VisualizationService$plot_design_comparison()

• VisualizationService$plot_sampling_locations()

• VisualizationService$clone()

---

Method new()

Usage

VisualizationService$new(config_manager = NULL)

Arguments

config_manager

Optional ConfigManager instance Plot Uncertainty Map

---

Method plot_uncertainty_map()

Usage

VisualizationService$plot_uncertainty_map(
  uncertainty_raster,
  field_data = NULL,
  output_path = NULL,
  title = "Uncertainty Map"
)

Arguments

uncertainty_raster

SpatRaster containing uncertainty values

field_data

Field data object containing boundary

output_path

Path to save the plot

title

Plot title

Returns

List with success status and plot object Plot Feature Importance

---

Method plot_feature_importance()

Usage

VisualizationService$plot_feature_importance(
  importance_scores,
  output_path = NULL,
  title = "Feature Importance"
)

Arguments

importance_scores

Named numeric vector of importance scores

output_path

Path to save the plot

title

Plot title

Returns

List with success status and plot object Plot Design Comparison

---

Method plot_design_comparison()

Usage

VisualizationService$plot_design_comparison(
  comparison_data,
  metric = "score",
  output_path = NULL,
  title = "Design Comparison"
)

Arguments

comparison_data

Data frame with algorithm comparison results

metric

Metric to plot (column name in comparison_data)

output_path

Path to save the plot

title

Plot title

Returns

List with success status and plot object Plot Sampling Locations

---

Method plot_sampling_locations()

Usage

VisualizationService$plot_sampling_locations(
  locations,
  field_data = NULL,
  output_path = NULL,
  title = "Sampling Locations"
)

Arguments

locations

sf object or dataframe of locations

field_data

Field data object containing boundary and covariates

output_path

Path to save the plot

title

Plot title

Returns

List with success status and plot object

---

Method clone()

The objects of this class are cloneable with this method.

Usage

VisualizationService$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.