simul2: Simulated Population 2.

In Spbsampling: Spatially Balanced Sampling

Simulated Population 2.

Description

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 ρ=0.01 (that means medium dependence) and with a spatial trend x_{1}+x_{2}+ε.

Usage

simul2

Format

A data frame with 1000 rows and 11 variables:

x

coordinate x

y

coordinate y

z21

first value of the unit

z22

second value of the unit

z23

third value of the unit

z24

fourth value of the unit

z25

fifth value of the unit

z26

sixth value of the unit

z27

seventh value of the unit

z28

eighth value of the unit

z29

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.

Spbsampling documentation built on Aug. 24, 2022, 5:06 p.m.