Introduction to AirMonitorPlots

Installation

NOTE: This package is not yet available on CRAN.

Install the latest version from GitHub with:

devtools::install_github('mazamascience/AirMonitorPlots')

Background

The AirMonitorPlots package provides plotting functionality to create production-ready plots for air quality monitoring data. It is designed to work with the AirMonitor package, integrating the data with ggplot2 plotting functions. High-level plotting functions make it easy for users to create beautiful plots of monitoring data. Since these functions are built on ggplot2, users familiar with ggplot2 can easily use the functions in this package to create custom plots.

Examples

The following examples use example mts_monitor objects from the AirMonitor package.

Timeseries

The default Timeseries plot is optimized for one monitor.

library(AirMonitor)
library(AirMonitorPlots)

monitor_ggTimeseries(
  AirMonitor::NW_Megafires, 
  startdate = 20150815,
  enddate = 20150825,
  id = "753019dc7f401908_410390101_03"
)

If more than one monitor is present, color will be mapped to deviceDeploymentID.

monitor_ggTimeseries(
  AirMonitor::NW_Megafires,
  startdate = 20150815,
  enddate = 20150820,
  id = c(
    "753019dc7f401908_410390101_03", 
    "3d1ac393596c511a_410390059_03", 
    "c69d9483556acb85_410391009_03",
    "eba98496f2495d0f_410390060_03"
  )
)

Daily Barplot

The DailyBarplot shows daily averages for one monitor.

monitor_ggDailyBarplot(
  AirMonitor::Carmel_Valley,
  startdate = 20160801,
  enddate = 20160808
)

Daily By Hour

The dailyByHour is designed specifically to show current data, with special lines for “today” and “yesterday”. However, it can plot historical data, using the enddate for “today”.

monitor_ggDailyByHour(
  AirMonitor::Carmel_Valley,
  startdate = 20160801, 
  enddate = 20160809
)