hard: A dataset of seabed hardness in the eastern Joseph Bonaparte...
In spm: Spatial Predictive Modeling
hard R Documentation
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.
Areaa catergorical vector, no unit
eastinga numeric vector, m
northinga numeric vector, m
procka numeric vector, no unit
bathya numeric vector, meter
bsa numeric vector, dB
bathy.morana numeric vector, no unit
planar.curva numeric vector, no unit
profile.curva numeric vector, no unit
reliefa numeric vector, meter
slopea numeric vector, no unit
surfacea numeric vector, no unit
tpia numeric vector, no unit
homogeneitya numeric vector, no unit
bs.morana numeric vector, no unit
variancea numeric vector, dB^2
hardnessa 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.
spm documentation built on May 6, 2022, 9:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| hard | R Documentation |
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.
Areaa catergorical vector, no unit
eastinga numeric vector, m
northinga numeric vector, m
procka numeric vector, no unit
bathya numeric vector, meter
bsa numeric vector, dB
bathy.morana numeric vector, no unit
planar.curva numeric vector, no unit
profile.curva numeric vector, no unit
reliefa numeric vector, meter
slopea numeric vector, no unit
surfacea numeric vector, no unit
tpia numeric vector, no unit
homogeneitya numeric vector, no unit
bs.morana numeric vector, no unit
variancea numeric vector, dB^2
hardnessa 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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.