grainscape (version 0.5.0)

graphdf: Produce a data.frame containing the structure and associated attributes

Description

Produce a data.frame containing the node (vertex) and link (edge) structure as well as the associated attributes for these. This provides an easy way to create data tables describing graphs, particularly helpful for users unfamiliar with the structure of igraph objects.

Usage

graphdf(x, ...)
# S4 method for list
graphdf(x, ...)
# S4 method for goc
graphdf(x, ...)
# S4 method for grain
graphdf(x, ...)
# S4 method for mpg
graphdf(x, ...)
# S4 method for igraph
graphdf(x, ...)

Value

A list object containing:

v

node (vertex) names and associated attributes;

e

link (edge) lists and associated attributes.

Please see MPG() and GOC() for details about the attributes.

For GOC() objects which typically contain multiple thresholds, an enumerated list of the same length as the number of thresholds is returned each containing v and e elements.

Arguments

x

A goc, mpg, igraph, or list object.

...

Additional arguments (not used).

Author

Paul Galpern and Alex Chubaty

See Also

MPG(), GOC()

Examples

## Load raster landscape
tiny <- raster::raster(system.file("extdata/tiny.asc", package = "grainscape"))

## Create a resistance surface from a raster using an is-becomes reclassification
tinyCost <- raster::reclassify(tiny, rcl = cbind(c(1, 2, 3, 4), c(1, 5, 10, 12)))
## Produce a patch-based MPG where patches are resistance features=1
tinyPatchMPG <- MPG(cost = tinyCost, patch = tinyCost == 1)
## Extract a representative subset of 5 grains of connectivity
tinyPatchGOC <- GOC(tinyPatchMPG, nThresh = 5)
## Create a data.frame with the structure and attributes of a MPG object
tinyPatchMPG_df <- graphdf(tinyPatchMPG) # nolint

## Create a data.frame with the structure and attributes of a GOC object
tinyPatchGOC_df <- graphdf(tinyPatchGOC) # nolint

## Create a data.frame with the structure and attributes of any igraph object
graphdf(tinyPatchGOC@th[[1]]$goc)