monitor_timeInfo: Get time related information for a monitor

Description Usage Arguments Details Value Examples

View source: R/monitor_timeInfo.R

Description

Calculate the local time for the monitor, as well as sunrise, sunset and solar noon times, and create several temporal masks.

The returned dataframe will have as many rows as the length of the incoming UTC time vector and will contain the following columns:

Usage

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monitor_timeInfo(ws_monitor = NULL, monitorID = NULL)

Arguments

ws_monitor

ws_monitor object.

monitorID

Monitor ID for a specific monitor in ws_monitor – optional if ws_monitor only has one monitor.

Details

While the lubridate package makes it easy to work in local timezones, there is no easy way in R to work in "Local Standard Time" (LST) as is often required when working with air qualitiy data. EPA regulations mandate that daily averages be calculated based on LST.

The localStdTime_UTC is primarily for use internally and provides an important tool for creating LST daily averages and LST axis labeling.

Value

A dataframe with times and masks.

Examples

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library(PWFSLSmoke)

carmel <- monitor_subset(Carmel_Valley, tlim = c(20160801,20160810))

# Create timeInfo object for this monitor
ti <- monitor_timeInfo(carmel)

# Subset the data based on day/night masks
data_day <- carmel$data[ti$day,]
data_night <- carmel$data[ti$night,]

# Build two monitor objects
carmel_day <- list(meta = carmel$meta, data = data_day)
carmel_night <- list(meta = carmel$meta, data = data_night)

# Plot them
monitor_timeseriesPlot(carmel_day, shadedNight = TRUE, pch = 8, col = 'goldenrod')
monitor_timeseriesPlot(carmel_night, pch = 16, col = 'darkblue', add = TRUE)

PWFSLSmoke documentation built on July 8, 2020, 7:19 p.m.