mean_MC_sgdf: mean() function for MC sample saved in a SpatialGridDataFrame

In spup: Spatial Uncertainty Propagation Analysis

mean() function for MC sample saved in a SpatialGridDataFrame

Description

Calculates mean from MC realizations for each location in a map.

Usage

mean_MC_sgdf(realizations, ...)

Arguments

realizations	MC sample saved in SpatialGridDataFrame.
...	additional parameters.

Value

SpatialGridDataFrame; a mean of a MC sample.

Author(s)

Kasia Sawicka

Examples

set.seed(12345)
# load data
data(dem30m, dem30m_sd)
dem_crm <- makeCRM(acf0 = 0.78, range = 321, model = "Exp")
demUM <- defineUM(uncertain = TRUE, distribution = "norm", 
                   distr_param = c(dem30m, dem30m_sd), crm = dem_crm)
dem_sample <- genSample(UMobject = demUM, n = 50, samplemethod = "ugs", 
                        nmax = 20, asList = FALSE)
dem_mean <- mean_MC_sgdf(dem_sample)

spup documentation built on May 29, 2024, 5:10 a.m.