| simul2 {Spbsampling} | R Documentation |
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 \rho=0.01 (that means medium dependence)
and with a spatial trend x_{1}+x_{2}+\epsilon.
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.