flag_warm_influence: flag_mad

In Conte-Ecology/conteStreamTemperature: clean, prepare, and analyze stream temperature data

Description

dewater Median observations per day for each time series

flag_warm_influence Flag series with excessive number of values above reference series

Usage

flag_warm_influence(data, vals, refs, threshold)

Arguments

data	time series data pull from the postgres database (df_values table)
vals	Character name of the column containing the time series values to test
refs	Character name of the column containing the reference time series values
threshold	Numeric proportion (between 0-1) indicating the percent of test values above the corresponding reference values resulting in a TRUE flag
data	dataframe with two columns of time series

Details

blah, blah, blah, something, something

The original intended use of this function is to identify stream sites with significant influence from warm impoundments (spillover dams or beaver dams). If the water temperature is frequently higher than the air temperature on that day and location, there is likely an upstream impoundment affecting the thermal regime at the point of the temperature logger. It could also result from effluent input (maybe part of MA DEP sampling) or possibly even from loggers placed in direct sunlight, which would be warm with some down spikes on cloudy days.

Value

Median observations per day for each time series

dataframe input data returned with additional logical column indicating whether the time series is excessively warm compared to the reference

Conte-Ecology/conteStreamTemperature documentation built on Oct. 12, 2021, 10:26 p.m.