The resilience is calculated based on the shape of the potential landscape and the prior knowledge about the qualitatively different parts of the system. Two resilience indicators are calculated separately, and their difference is used to represent a general resilience of the system in favor of the first phase. Within each phase, the potential difference between the local maximum and the local minimum (if multiple minimums exist, use the one that is further from the other phase; and the local maximum should always be on the side to the other phase) is used to represent the resilience of this phase.
Usage
calculate_resilience(l, ...)
# S3 method for `2d_Isingland`
calculate_resilience(l, split_value = 0.5 * l$Nvar, ...)
# S3 method for `2d_Isingland_matrix`
calculate_resilience(l, split_value = 0.5 * l$Nvar, ...)Arguments
- l
An
Isinglandobject constructed withmake_2d_Isingland()ormake_2d_Isingland_matrix().- ...
Not in use.
- split_value
An integer to specify the number of active nodes used to split two resilience ranges. Default is half of the number of nodes.
Value
calculate_resilience.2d_Isingland()Returns a
calculate_resilience.2d_Isinglandproject, which contains the following elements:- dist
The distribution tibble which is the same as in the input
l.- effective_minindex1,effective_maxindex1,effective_minindex2,effective_maxindex2
The (row)indices in
distthat were used as the positions of the local minimums and maximums in two parts.- resilience1,resilience2,resilience_diff
The resilience measures for the first (left) part, the second part (right), and their difference.
calculate_resilience.2d_Isingland_matrix()Returns a
resilience_2d_Isingland_matrixobject, which is a tibble containing columns of the varying parameters and a columnresilienceof thecalculate_resilience.2d_Isinglandobjects for each landscape.
When print()ed, a verbal description of the resilience metrics is shown. Use the summary() method for a tidy version of the outputs.