uniformSelection: Uniform selection model

In SEEG-Oxford/movement: Modelling and Analysing Human Movement Data

Uniform selection model

Description

The uniform selection model assumes that a job is selected uniformly at random proportionally to the population in each district following:

T_{ij} = \frac{P}{Q-R}

where P is the population at the origin and Q at the destination, R denotes the total population in a radius \gamma around population centres P_i and Q_j.

Usage

uniformSelection(theta = 0.9)

Arguments

theta

Model parameter with default value and the limits theta = [0, Inf].

Value

A flux model object with the uniform selection flux function and a set of starting parameters.

Note

Limits 0 and Inf will be changed internally to the numerically safe approximations 0 -> sqrt(.Machine$double.eps) and Inf -> sqrt(.Machine$double.xmax), respectively.

References

Simini, F., Maritan, A. & Neda, Z. (2013). Human mobility in a continuum approach. PLoS One, 8, e60069.

See Also

movement, originalRadiation, radiationWithSelection, interveningOpportunities, gravity, gravityWithDistance

SEEG-Oxford/movement documentation built on April 17, 2023, 4:17 p.m.