hard {spm}

A dataset of seabed hardness in the eastern Joseph Bonaparte Golf, northern Australia marine margin

Description

This dataset contains 137 samples of 17 variables including area surveyed (Area), easting, northing, prock, bathymetry (bathy), backscatter (bs), local Moran I (bathy.moran), plannar curvature (planar.curv), profile curvature (profile.curv), topographic relief (relief), slope (slope), surface area (surface), topographic position index (tpi), homogeneity of backscatter (homogeneity), local Moran I of backscatter (bs.moran), variance of backscatter (variance) and seabed hardness (hardness).

Usage

data("hard")

Format

A data frame with 137 observations on the following 17 variables.

Area

a catergorical vector, no unit

easting

a numeric vector, m

northing

a numeric vector, m

prock

a numeric vector, no unit

bathy

a numeric vector, meter

bs

a numeric vector, dB

bathy.moran

a numeric vector, no unit

planar.curv

a numeric vector, no unit

profile.curv

a numeric vector, no unit

relief

a numeric vector, meter

slope

a numeric vector, no unit

surface

a numeric vector, no unit

tpi

a numeric vector, no unit

homogeneity

a numeric vector, no unit

bs.moran

a numeric vector, no unit

variance

a numeric vector, dB^2

hardness

a catergorical vector, no unit

Details

For details, please see the source. This dataset was modified by removing 3 samples with missing values from Appendix AA of the book chapter listed in the source.

Source

Li, J., J. Siwabessy, M. Tran, Z. Huang, and A. Heap. 2013. Predicting Seabed Hardness Using Random Forest in R. Pages 299-329 in Y. Zhao and Y. Cen, editors. Data Mining Applications with R. Elsevier.