infilt {HydroMe}

Water infiltration characteristics data

Description

This is part of a dataset from a PhD study which measured water infiltration characteristics from the Upper Athi River basin in Eastern Kenya. It contains rate of infiltration (y) at different levels of cummulative Time intervals (x)

Usage

data(infilt)

Format

A data frame with 1105 observations on the following 6 variables.

Sample

which is a numeric vector

PlotNo

which is a factor with levels such as: 10lP3 11lP3 12lP3 13lP3 14lP3 15lP3 16lP3 17lP3 18lP3 19lP3 1lP3 20lP3 21lP3 22lP3 23lP3 24lP3 25lP3 26lP3 27lP3 28lP3 29lP3 2lP3 30lP3 3lP3 4lP3 5lP3 6lP3 7lP3 8lP3 9lP3

Erosion

which is a factor with levels such as: E0 E1 E2

Time

which is a numeric vector of cumulative infiltration time

Rate

which is a numeric vector of instantaneous infiltration rate

Cumrate

which is a numeric vector of cumulative infiltration rate

Details

The data is grouped according to plots (given the name PlotNo) from where the data were collected

Source

Omuto CT. 2006. Large-area soil physical degradation assessment using gis, remote sensing, and infrared spectroscopy in arid and semi-arid Kenya. PhD Dissertation, University of Nairobi, Kenya

References

Omuto CT. 2006. Large-area soil physical degradation assessment using gis, remote sensing, and infrared spectroscopy in arid and semi-arid Kenya.PhD Dissertation, University of Nairobi, Kenya

Examples

data(infilt)
str(infilt)