phenophases: Calculates phenophases

In phenocamr: Facilitates 'PhenoCam' Data Access and Time Series Post-Processing

Calculates phenophases

Description

This routine combines a forward and backward run of transition_dates function to calculate the phenophases in both rising and falling parts of a PhenoCam time series.

Usage

phenophases(data, mat, internal = TRUE, out_dir = tempdir(), ...)

Arguments

data	a PhenoCam data file (or data frame)
mat	mean annual temperature
internal	return PhenoCam data file or data frame
out_dir	output directory
...	pass parameters to the transition_dates() function

Value

Estimates of transition dates for both rising and falling parts of a PhenoCam time series. All time series are evaluated (gcc_90, gcc_75, etc). The function returns a nested list with UNIX time based values including uncertainties on these estimates and their associated thresholds. When written to disk UNIX dates are converted to YYYY-MM-DD. The nested list has named locations rising and falling, or location 1 and 2 in the list respectivelly.

Examples

## Not run: 
# downloads a time series
download_phenocam(site = "harvard$",
                  veg_type = "DB",
                  roi_id = "1000",
                  frequency = "3")

# read in data as data frame and calculate phenophases
df <- read_phenocam(file.path(tempdir(),"harvard_DB_1000_3day.csv"))
my_dates <- phenophases(df, internal = TRUE)

# print results
print(my_dates)

## End(Not run)

phenocamr documentation built on July 21, 2022, 1:06 a.m.