krige (version 0.5.7)

ContrivedData: Simulated Point-Referenced Spatial Data

Description

These data are a simulated point-referenced geospatial data that serve to provide a clean example of a kriging model. There are 500 observations with coordinates located on a unit square.

Usage

data(NY_subset)

Format

The ContrivedData dataset has 500 observations and 5 variables.

y

The outcome variable. Its true population functional form is \(y_s=0+1 x_{1s}+2 x_{2s}+\omega_{s}+\epsilon_{s}\). The true variance of \(\omega\) is \(\sigma^2=0.5\) and of \(\epsilon\) is \(\tau^2=0.5\). The decay term that shapes spatial correlation levels is \(\phi=2.5\).

x.1

A predictor with a standard uniform distribution.

x.2

A predictor with a standard normal distribution.

s.1

Coordinate in eastings for each observation, distributed standard uniform.

s.2

Coordinate in northings for each observation, distributed standard uniform.

Examples

# NOT RUN {
#Examine Data
summary(ContrivedData)

#Initial OLS Model
contrived.ols<-lm(y~x.1+x.2,data=ContrivedData);summary(contrived.ols)
# }