MTA (version 0.2.0)

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, xid, var1, var2, ref, key, order, dist, mat)

Arguments

x

an sf object or a SpatialPolygonsDataFrame including var1 and var2.

xid

identifier field in x (to be used for importing a personal distance matrix). Default to the first column.

var1

name of the numerator variable in x.

var2

name of the denominator variable in x.

ref

ratio of reference; if missing, the ratio of reference is the one of the whole study area (sum(var1) / sum(var2)).

key

aggregation key field for measuring the deviation (intermediate territorial level).

order

contiguity order.

dist

distance threshold defining the contiguity. The cartesian distance between units centroids is used by default (see st_distance); use mat to apply different metrics.

mat

a distance matrix (road distance, travel time...) between x units. Row and column names must fit xid identifiers. (optional)

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

# NOT RUN {
data("GrandParisMetropole")
redistr <- mas(x = com, var1 = "INC", var2 = "TH", dist = 5000, key = "EPT")
redistr
# }