geometryVariables: Calculate selected geometry variables from raster data

In environmentalinformatics-marburg/Rsenal: Magic R Functions for Things Various

Calculate selected geometry variables from raster data

Description

This function calculates geoemtry parameters from Raster data.

Usage

geometryVariables(x)

Arguments

x	A RasterLayer with any values but where patches are seperated by surrounding NA values

Value

A RasterStacks containing the geoemtry parameters. The names are as following; Patches: The ID of the Patches Ar: The area of the individual patches SI: The shape index calculated by SDMTools CA: The core area calculated by SDMTools Up: The perimeter of the indivisual patches CAI: The core area index calculated by SDMTools PAR:The perimeter area ratio calculated by SDMTools Re: The radius of the inner circle distEdges: The distcance from edges Ru: The radius of the outer circle OIC: The inner-outer-circle ratio CI1: inner compactness CO1: outer compactness CI2: inner compactness2 CO2: outer compactness2 CCI1: corrected compactness index 1 CCI2: corrected compactness index 2 CO: compactness SHD: Shoreline development C1: Circularity E: Elongateness TR:Thinness Ratio CR: Circularity ratio C2: Circularity2 FR: Form ratio EI: Elipticity index SF1: Shape factor GSI: Grain shape index SF2: Shape factor 2 C3: Circularity 3 SF3: Shape factor 3

For decription of the indices see list in Borg 1998: Vergleichende Analyse von Formindizes zur Charakterisierung von Landschaftsobjekten unter oekologischen Aspekten. Zeitschrift fuer Photogrammetrie und Fernerkundung 4: 108-119.

Author(s)

Hanna Meyer

See Also

SDMTools, clump, borg_indices

Examples

## Not run: 
RasterLayer <- raster(system.file("training.rst", package = "Rsenal"))
shape <- geometryVariables(RasterLayer)
plot(shape)

## End(Not run)

environmentalinformatics-marburg/Rsenal documentation built on July 28, 2023, 6:09 a.m.