calculate_metrics: Calculate Metrics

In Nowosad/sd: What the Package Does (One Line, Title Case)

Description

Calculate Metrics

Usage

calculate_metrics(x, w, neighbourhood, fun, size = NULL,
  na_action = "replace", base = "log2", ordered = TRUE)

Arguments

x	RasterStack with realizations
w	RasterStack with weights
fun	"mean", "geometric_mean", or "focal"
size	size of a motifel
na_action	"replace", "omit", "keep"
base	the unit in which entropy is measured. The default is "log2", which compute entropy in "bits". "log" and "log10" can be also used
ordered	the type of pairs considered. Either ordered (TRUE) or unordered (FALSE). The default is TRUE
directions	4/8

Value

a data.frame

Examples

library(sd)
library(raster)
x = create_realizations(perc_raster, n = 5)
w = create_weights(x, perc_raster, size = 100)

#1
df = calculate_metrics(x, w, neighbourhood = 4, fun = "mean")

#2
df2 = calculate_metrics(x, w, neighbourhood = 4, fun = "mean", size = 100)
my_grid = create_grid(x, size = 100)
## Not run: 
 df3 = dplyr::filter(df2, realization == 2)
 result = dplyr::left_join(my_grid, df2, by = c("row", "col"))
 plot(result)

## End(Not run)

Nowosad/sd documentation built on July 8, 2019, 2:01 p.m.