eventPOT | R Documentation |
Identify events using a specified threshold value over which an event is considered to have occurred.
eventPOT(data, threshold = 0, min.diff = 1, out.style = "summary")
data |
A data vector |
threshold |
Value above which an event is considered to have occurred |
min.diff |
Spacing required for two events to be considered separate |
out.style |
The type of output (currently either "summary" or "none") |
The threshold
can be thought of a value below which the data
are considered to be "zero".
The min.diff
can be viewed as the minimum spacing for event independence.
By default, the out.style
returns the indices of the maximum in each event, as well as the value of
the maximum and the sum of the data
in each event, alongside the start and end of the events. Otherwise just
the indices of start and end of events as a two column dataframe are returned.
calcStats
eventBaseflow
eventMaxima
eventMinima
# Example using streamflow data bf = baseflowB(dataBassRiver, alpha = 0.925) qf = dataBassRiver - bf$bf events = eventPOT(qf) plotEvents(qf, dates = NULL, events = events, type = "lineover", main = "Events (plotted on quickflow)") plotEvents(dataBassRiver, dates = NULL, events = events, type = "lineover", main = "Events (plotted on streamflow)") # Examples using rainfall data events = eventPOT(dataLoch, threshold = 0, min.diff = 1) plotEvents(dataLoch, dates = NULL, events = events, type = "hyet", main = "Rainfall Events (threshold = 0, min.diff = 1)") events = eventPOT(dataLoch, threshold = 2, min.diff = 2) plotEvents(dataLoch, dates = NULL, events = events, type = "hyet", main = "Rainfall Events (threshold = 2, min.diff = 2)")
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