simul1: Simulated Population 1.

In Spbsampling: Spatially Balanced Sampling

Simulated Population 1.

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=0.001 (that means low dependence) and with no spatial trend.

Usage

simul1

Format

A data frame with 1000 rows and 11 variables:

x

coordinate x

y

coordinate y

z11

first value of the unit

z12

second value of the unit

z13

third value of the unit

z14

fourth value of the unit

z15

fifth value of the unit

z16

sixth value of the unit

z17

seventh value of the unit

z18

eighth value of the unit

z19

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.