Description Usage Arguments Value See Also Examples
Functions for simplifying the calculation of physical indices for a
timeseries of observation data. Can usually be called directly on data
loaded directly using load.ts
and load.bathy
.
These are wrapper functions that accept a timeseries of data and call the
core physical metric functions (like schmidt.stability
) on
each timestep.
1 | ts.meta.depths(wtr, slope = 0.1, na.rm = FALSE, ...)
|
wtr |
A data frame of water temperatures (in Celsius). Loaded using
|
slope |
The minimum density gradient (kg/m^3/m) that can be called the thermocline |
na.rm |
Boolean indicated if step-by-step removal of NA's should be tried. If false, a timestep with any NA values will return an NA value. If true, best effort will be made to calculate indices despite NA values. |
... |
Additional parameters passed to underlying base function (e.g., index=TRUE for thermo.depth) |
Returns a data frame with the timeseries of calculated derivatives. All include a ‘datetime’ column, but derivative columns differ between functions.
For loading input data load.ts
,
load.bathy
.
For the underlying functions operating at each timestep
meta.depths
, thermo.depth
,
schmidt.stability
, lake.number
,
internal.energy
.
Other Timeseries functions for r Lake Analyzer: ts.internal.energy
,
ts.lake.number
,
ts.schmidt.stability
,
ts.thermo.depth
, ts.uStar
1 2 3 4 5 6 7 8 9 10 11 12 13 | #Get the path for the package example file included
exampleFilePath <- system.file('extdata', 'Sparkling.daily.wtr', package="rLakeAnalyzer")
#Load
sparkling.temp = load.ts(exampleFilePath)
#calculate and plot the metalimnion depths
m.d = ts.meta.depths(sparkling.temp)
plot(m.d$datetime, m.d$top, type='l', ylab='Meta Depths (m)', xlab='Date', col='blue')
lines(m.d$datetime, m.d$bottom, col='red')
|
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