projectSummaryMaxSurface: Project probability-of-origin surfaces into one summary...

In isocat: Isotope Origin Clustering and Assignment Tools

Description

Create a summary surface showing which RasterLayer in a Stack has the highest value at a given location. For each cell in a RasterStack, this function returns the identity of the RasterLayer with the highest value at that cell. This surface is intended as a visual summary of common origins, not a basis for quantitative analysis.

Usage

projectSummaryMaxSurface(surfaces, nClust = FALSE)

Arguments

surfaces	Object of class "RasterStack", where each layer represents a probability-of-origin surface
nClust	Create and apply a multi-core cluster for faster processing using 'raster' and 'parallel' packages. Defaults to 'FALSE' (i.e., no clustering).

Examples

# Create and cluster example assignment surfaces.
myiso <- rasterFromXYZ(isoscape)
myiso_sd <- rasterFromXYZ(isoscape_sd)
assignmentModels <- isotopeAssignmentModel(
        ID = LETTERS[1:4],
        isotopeValue = seq(-120,-25,length.out = 4),
        SD_indv = rep(5,4),
        precip_raster = myiso,
        precip_SD_raster = myiso_sd,
        nClusters = FALSE
        )
raster::plot(assignmentModels)

# Project mean aggregate surfaces into space.
summaryMap <- projectSummaryMaxSurface(
        surfaces = assignmentModels,
        nClust = FALSE
        )
raster::plot(summaryMap)

isocat documentation built on July 8, 2020, 5:15 p.m.