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GenerativeTemplate: R6 class representing a nested container for generator attributes

Description

R6 class representing a nested container for Generator attributes that are maintained when new model clones are created. The container maintains input and output attribute names, file, function and distribution templates, correlation parameters (for distribution generation), rounding decimals, occupancy mask, and any inherited class model attributes that need to be maintained when cloning.

Arguments

Public fields

attached

A list of dynamically attached attributes (name-value pairs).

Active bindings

description

A brief description of what the generator generates.

inputs

An array of input attribute names for the generator.

outputs

An array of output attribute names for the generator.

file_templates

A list of file template attributes.

function_templates

A list of function template attributes.

distribution_templates

A list of distribution template attributes.

uses_correlations

A boolean to indicate that a SpatialCorrelation (or inherited class) object is used for generating correlated random deviates.

spatial_correlation

A SpatialCorrelation (or inherited class) object for generating correlated random deviates.

temporal_correlation

Absolute correlation coefficient between simulation time steps for all grid cells (0-1; default = 1).

time_steps

Number of simulation time steps (default = 1).

generate_rasters

Boolean to indicate if rasters should be generated (default: NULL).

decimals

Number of decimal places applied to the generated values (default: NULL = no rounding).

occupancy_mask

Optional binary mask array (matrix), data frame, or raster (stack) for generated (time-series) data.

Methods

Method new()

Initialization method initializes the generator templates.

Usage

GenerativeTemplate$new()

Method clone()

The objects of this class are cloneable with this method.

Usage

GenerativeTemplate$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

Run this code
gen_template <- GenerativeTemplate$new()
gen_template$occupancy_mask <- array(c(1, 1, 0, 0, 1, 1, 1))
gen_template$decimals <- 4
gen_template$description <- "Test generator"

coordinates <- data.frame(x = c(1:4, 4:2), y = c(1, 1:4, 4:3))

generator <- Generator$new(
  region = Region$new(coordinates = coordinates), attr1 = 1,
  template_attached = gen_template
)
generator$description
generator$occupancy_mask
generator$decimals

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