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)
Arguments
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: 10lP311lP312lP313lP314lP315lP316lP317lP318lP319lP31lP320lP321lP322lP323lP324lP325lP326lP327lP328lP329lP32lP330lP33lP34lP35lP36lP37lP38lP39lP3
Erosion
which is a factor with levels such as: E0E1E2
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
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