| simul3 {Spbsampling} | R Documentation |
Simulated Population 3.
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 \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.