Description Usage Format Details Source References Examples

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.

1 |

A data frame with 38 observations on 5 variables.

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.

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))`

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

1 2 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.