R Dataset / Package MASS / gilgais

Documentation

On this Picostat.com statistics page, you will find information about the gilgais data set which pertains to Line Transect of Soil in Gilgai Territory. The gilgais data set is found in the MASS R package. You can load the gilgais data set in R by issuing the following command at the console data("gilgais"). This will load the data into a variable called gilgais. If R says the gilgais data set is not found, you can try installing the package by issuing this command install.packages("MASS") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the gilgais R data set. The size of this file is about 12,113 bytes.


Line Transect of Soil in Gilgai Territory

Description

This dataset was collected on a line transect survey in gilgai territory in New South Wales, Australia. Gilgais are natural gentle depressions in otherwise flat land, and sometimes seem to be regularly distributed. The data collection was stimulated by the question: are these patterns reflected in soil properties? At each of 365 sampling locations on a linear grid of 4 meters spacing, samples were taken at depths 0-10 cm, 30-40 cm and 80-90 cm below the surface. pH, electrical conductivity and chloride content were measured on a 1:5 soil:water extract from each sample.

Usage

gilgais

Format

This data frame contains the following columns:

pH00

pH at depth 0–10 cm.

pH30

pH at depth 30–40 cm.

pH80

pH at depth 80–90 cm.

e00

electrical conductivity in mS/cm (0–10 cm).

e30

electrical conductivity in mS/cm (30–40 cm).

e80

electrical conductivity in mS/cm (80–90 cm).

c00

chloride content in ppm (0–10 cm).

c30

chloride content in ppm (30–40 cm).

c80

chloride content in ppm (80–90 cm).

Source

Webster, R. (1977) Spectral analysis of gilgai soil. Australian Journal of Soil Research 15, 191–204.

Laslett, G. M. (1989) Kriging and splines: An empirical comparison of their predictive performance in some applications (with discussion). Journal of the American Statistical Association 89, 319–409

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

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Dataset imported from https://www.r-project.org.

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Attachment Size
dataset-12251.csv 11.83 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0