View source: R/calcFunctionalIndices.r

calc_weighted_topological_indices | R Documentation |

The function calculates: weighted linkage density, connectance, generality and vulnerability and the SDs of the last two based on 1
and the level of omnivory, mean and maximum trophic level based on 2 using `NetIndices::TrophInd()`

function.
The igraph networks must have the weight attribute.

calc_weighted_topological_indices(ig, ncores = 0)

`ig` |
An igraph object with the weight attribute representing fluxes |

`ncores` |
number of cores used to compute in parallel, if 0 sequential processing is used. |

a data.frame with the following fields:

LD: linkage density

Connectance: directed Connectance

TLmean: mean trophic level

TLmax: maximum trophic level

LOmnivory: Level of omnivory, quantiﬁes mean of the variety in trophic levels of the preys of a consumer

Vulnerability: mean of number of consumers per prey

VulSD: the standard deviation of normalized Vulnerability

Generality: mean number of prey per consumer

GenSD: the standard deviation of normalized Generality

Bersier, LF. et al. (2002). Quantitative Descriptors Of Food-web Matrices. Ecology, 83(9), 2394–2407.

Kones, JK. et al. (2009). Are network indices robust indicators of food web functioning? A Monte Carlo approach. Ecological Modelling, 220, 370–382.

# Generate a test network g <- graph_from_literal( 1 -+ 4 -+ 7,2 -+ 5 -+7, 3-+6-+7, 7-+7, 4+-3, simplify = FALSE) # Add weight E(g)$weight <- sample(c(.1,.2,.8,.9),gsize(g),replace=TRUE) calc_weighted_topological_indices(g)

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