extract_observations: Extraction of Daily Change Observations

In Kinekenneth48/rdailychange: Daily Change Method for Spatial Data

Description

This function allows the user to extract sequential daily changes from Snow Water Equivalent (SWE) observations. Day-1 observations are sequential daily changes in SWE. Day-2 observations assume that the shedding phenomenon occurs after two days. Hence, Day-2 observations are a sum of two consecutive days of positive sequential changes. Day-3, Day-4 and Day-5 observations are a sum of three, four and five consecutive sequential daily changes respectively. In addition, they allow for at most one middle sequential change to be a negative value as long as the sum of the other sequential daily changes are greater than the negative change.

Usage

extract_observations(df, day = 1, col_name = "SWE")

Arguments

df	data frame of SWE and other measurement location metadata.
day	Daily change method. This is an integer parameter. Default is 1 for Day-1 method.
col_name	Character string of the column name containing the snow observations.

Value

A data table of measurement location's metadata and specified daily sequential observations.

Examples

sample_data <- rdailychange::sample_data
sample_data <- sample_data[ID == "USW00023062"]
rdailychange:::extract_observations(sample_data, day = 2)

Kinekenneth48/rdailychange documentation built on Dec. 18, 2021, 3:34 a.m.