mas: Multiscalar Absolute Synthesis

In riatelab/MTA: Multiscalar Territorial Analysis

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)

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.

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.

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") 

riatelab/MTA documentation built on Nov. 5, 2023, 7:47 p.m.