sponge.grid | R Documentation |

This dataset contains 95530 rows of 7 predictive variables including longitude (easting), latitude (northing), topographic position index (tpi3), variance of backscatter (var7), entropy (entro7), backscatter at incidence angle 11 degree (bs11), and backscatter at incidence angle 34 degree (bs34).

data("sponge.grid")

A data frame with 95530 rows on the following 7 variables.

`easting`

a numeric vector, m

`northing`

a numeric vector, m

`tpi3`

a numeric vector, no unit

`var7`

a numeric vector, dB^2

`entro7`

a numeric vector, no unit

`bs11`

a numeric vector, dB

`bs34`

a numeric vector, dB

For details, please see the source. This dataset was used to produce the figure of predictions in the paper listed in the source.

Li, J., B. Alvarez, J. Siwabessy, M. Tran, Z. Huang, R. Przeslawski, L. Radke, F. Howard, and S. Nichol. 2017. Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness. Environmental Modelling & Software,97: 112-129.

spm documentation built on May 6, 2022, 9:06 a.m.

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.