data-fireData: Wax paper fire smouldering experiment conducted in a fume...

In nonsmooth: Nonparametric Methods for Smoothing Nonsmooth Data

Wax paper fire smouldering experiment conducted in a fume hood

Description

The fire spread data consists of 45 segmented RGB images from a fire smouldering experiment of wax paper. The data were measured using a digital camera at a birds-eye view above the experiment. The data is segmented 1 frame per second.

Usage

data("fireData")

Format

The movie of the fire spread is a data frame with four dimensions. The first and second dimensions of the data frame are the pixel coordinates of one image. The third dimension is the RGB channel, with the red channel (1), blue channel (2), and green channel (3). The fourth dimension is time, starting at ignition (time point 1), and then each RGB image is separated by one second for a total of 45 seconds.

Source

John R.J. Thompson

References

Thompson, J.R.J., Wang, X.J., & Braun, W.J. (2020) “A mouse model for studying fire spread rates using experimental micro-fires”, Journal of Environmental Statistics, 9(1), 1-19. <[https://www.jenvstat.org/v09/i06]https://www.jenvstat.org/v09/i06>

Wang, X.J., Thompson, J.R.J., Braun, W.J., & Woolford, D.G. (2019) “Fitting a stochastic fire spread model to data.” Advances in Statistical Climatology, Meteorology and Oceanography, 5(1), 57-66. <[https://ascmo.copernicus.org/articles/5/57/2019/]https://ascmo.copernicus.org/articles/5/57/2019/>

Examples

## Example - viewing a fire spread experiment that contains change-points

data("fireData")

## Plot the red channel at 10 seconds as a 2d image

image(1:dim(fireData)[1], 1:dim(fireData)[2],
      matrix(fireData[,,1,10], nrow=dim(fireData)[1], byrow=FALSE))

nonsmooth documentation built on July 3, 2024, 5:06 p.m.