MTA (version 0.6.0)

mas: Multiscalar Absolute Synthesis

Description

This function sums the total amount of redistributions according to the three absolute deviations (global, territorial, spatial).

Usage

mas(x, gdevabs, tdevabs, sdevabs, num)

Value

A dataframe including the mass of numerator to redistribue to reach a perfect equilibrium according to the 3 contexts, expressed in numerator measure unit and as a share of the numerator mass.

Arguments

x

a sf object or a dataframe including gdevabs, tdevabs, sdevabs and num columns.

gdevabs

name of the general absolute deviation variable in x.

tdevabs

name of the territorial absolute deviation variable in x.

sdevabs

name of the spatial absolute deviation variable in x.

num

name of the numerator used for computing the 3 absolute deviations in x.

Examples

# Load data
library(sf)
com <- st_read(system.file("metroparis.gpkg", package = "MTA"), layer = "com", quiet = TRUE)

# general absolute deviation 
com$gdevabs <- gdev(x = com, var1 = "INC",var2 = "TH", type = "abs")

# Territorial absolute deviation calculation
com$mdevabs <- tdev(x = com,  var1 = "INC", var2 = "TH", type = "abs",
                    key = "LIBEPT")

# Local absolute deviation calculation redistribution 
com$ldevabs <- sdev(x = com, xid = "DEPCOM", var1 = "INC", var2 = "TH",
                    order = 1, type = "abs")

# Compute the synthesis DataFrame (absolute deviations)
mas(x = com, 
    gdevabs = "gdevabs", 
    tdevabs = "mdevabs",
    sdevabs = "ldevabs",
    num = "INC")