Simulated Population 3.

The dataset contains a simulated georeferenced population of dimension \(N=1000\). The coordinates are generated in the range \([0,1]\) as a simulated realization of a particular random point pattern: the Neyman-Scott process with Cauchy cluster kernel. The nine values for each unit are generated according to the outcome of a Gaussian stochastic process, with an intensity dependence parameter \(\rho=0.1\) (that means high dependence) and with a spatial trend \(x_{1}+x_{2}+\epsilon\).

Usage

simul3

Format

A data frame with 1000 rows and 11 variables:

x

coordinate x

y

coordinate y

z31

first value of the unit

z32

second value of the unit

z33

third value of the unit

z34

fourth value of the unit

z35

fifth value of the unit

z36

sixth value of the unit

z37

seventh value of the unit

z38

eighth value of the unit

z39

ninth value of the unit

Source

Benedetti R, Piersimoni F (2017). A spatially balanced design with probability function proportional to the within sample distance. Biometrical Journal, 59(5), 1067-1084.