bushfire: Bushfire scars

In modi: Multivariate outlier detection and imputation for incomplete survey data

Description

The bushfire data set was used by Campbell (1984, 1989) to locate bushfire scars. The dataset contains satelite measurements on five frequency bands, corresponding to each of 38 pixels.

Usage

data(bushfire)

Format

A data frame with 38 observations on 5 variables.

Details

The data contains an outlying cluster of observations 33 to 38 a second outlier cluster of observations 7 to 11 and a few more isolated outliers, namely observations 12, 13, 31 and 32. bushfirem is created from bushfire by setting a proportion of 0.2 of the values to missing.

Source

bushfirem: set.seed(234567891) miss.rate <- 0.2 miss.ind<-rep(F,n*p) miss.ind[sample(n*p,floor(miss.rate*n*p))]<-T bushmiss<-matrix(miss.ind,ncol=5) mean(bushmiss) bushfirem<-bushfire bushfirem[bushmiss]<-NA

For testing purposes weights are provided: bushfire.weights<-rep(c(1,2,5),length=nrow(bushfire))

References

Campbell, N. (1989) Bushfire mapping using noaa avhrr data. Technical Report. Commonwealth Scientific and Industrial Research Organisation, North Ryde.

Examples

data(bushfire)
## maybe str(bushfire) ; plot(bushfire) ...

Example output

modi documentation built on May 2, 2019, 6:48 p.m.