spongelonglat: A dataset of sponge species richness in the Timor Sea region,...

In spm2: Spatial Predictive Modeling

A dataset of sponge species richness in the Timor Sea region, northern Australia marine margin

Description

This dataset contains 77 samples of 7 predictive variables including longitude, latitude, bathy, backscatter and their derived variables. It is the sponge dataset in 'spm' package, but with long and lat instead of easting and northing.

Usage

data("spongelonglat")

Format

A data frame with 77 observations on the following 8 variables.

sponge

a numeric vector

tpi3

a numeric vector

var7

a numeric vector

entro7

a numeric vector

bs34

a numeric vector

bs11

a numeric vector

long

a numeric vector

lat

a numeric vector

Details

For details, please see sponge dataset in library(spm). Where the long and lat were projected to easting and northing.

Source

sponge dataset in library(spm)

References

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.

Examples

data(spongelonglat)
## maybe str(spongelonglat) ; plot(spongelonglat) ...

spm2 documentation built on April 6, 2023, 5:19 p.m.