This document has been updated to reflect functions in AirSensor version 0.6.x.
Purple Air Synoptic (PAS) data provides a view of their sensor network with
location metadata and an instantaneous view of measured values. Within the
AirSensor package, this data is available as a pas
object. All functions
beginning with pas_
are designed for creating or working with this data. The
following functions are the most common end-user functions:
| function | params |
|:------|:-----|
| Creating a pas
| |
| pas_createNew()
| countryCodes, includePWFSL, lookbackDays, baseUrl
|
| Loading a pas
| |
| pas_load()
| datestamp, retries, timezone, archival
|
| Obtaining information from a pas
| |
| pas_getColumn()
| pas, name, pattern, isOutside, isParent
|
| pas_getDeviceDeploymentIDs()
| pas, pattern, isOutside, isParent
|
| pas_getIDs()
| pas, pattern, isOutside, isParent
|
| pas_getLabels()
| pas, pattern, isOutside, isParent
|
| Manipulating a pas
| |
| pas_filter()
| pas, ...
|
| pas_filterArea()
| pas, w, e, s, n
|
| pas_filterNear()
| pas, longitude, latitude, radius
|
| Plotting a pas
| |
| pas_leaflet()
| pas, parameter, paletteName, ...
|
| pas_staticMap()
| pas, parameter, paletteName, ...
|
PurpleAir Timeseries (PAT) data is available on a per-sensor basis. Within the
AirSensor package, this data is available as a pat
object. All functions
beginning with pat_
are designed for creating or working with this data. The
following functions are the most common end-user functions:
| function | params |
|:------|:-----|
| Creating a pat
| |
| pat_createNew()
| id, label, pas, startdate, enddate, timezone, baseUrl
|
| Loading a pat
| |
| pat_load()
| id, label, pas, startdate, enddate, days, timezone
|
| pat_loadLatest()
| id, label, pas
|
| pat_loadMonth()
| id, label, pas, datestamp, timezone
|
| Manipulating a pat
| |
| pat_filter()
| pat, ...
|
| pat_filterDate()
| pat, startdate, enddate, ...
|
| pat_filterDatetime()
| pat, startdate, enddate, ...
|
| pat_join()
| pat, pat, ...
|
| pat_outliers()
| pat, windowSize, thresholdMin, replace, showPlot, ...
|
| pat_qc()
| pat, ...
|
| pat_sample()
| pat, sampleSize
|
| Plotting a pat
| |
| pat_dygraph()
| pat, parameter, sampleSize, ...
|
| pat_multiPlot()
| pat, plottype, sampleSize, ...
|
| pat_scatterPlotMatrix()
| pat, parameters, sampleSize, ...
|
| State-of-Health functions | |
| pat_dailySoH()
| pat, Soh_functions
|
| pat_dailySoHIndex_Plot_00()
| pat, minPctReporting, breaks
|
| pat_dailySoHIndexPlot()
| pat, minPctReporting, breaks, SoHIndex_FUN
|
| pat_dailySoHPlot()
| pat, ncol
|
| Other functions | |
| pat_aggregate()
| pat, FUN, ...
|
| pat_aggregateOutliserCounts()
| pat, period, windowSize, thresholdMin
|
| pat_externalFit()
| pat, ...
|
| pat_internalFit()
| pat, ...
|
| pat_monitorComparison()
| pat, ...
|
Hourly Aggregated data can be generated from pat
objects with the
pat_createAirSensor()
function. Within the AirSensor package, this data is
available as an airsensor
object. All functions beginning with sensor_
are
designed for obtaining or working with this data. The following functions are
the most common end-user functions:
| function | params |
|:------|:-----|
| Creating an airsensor
| |
| pat_createAirSensor()
| pat, parameter, FUN, ...
|
| Loading an airsensor
| |
| sensor_load()
| collection, startdate, enddate, days, timezone
|
| sensor_loadLatest()
| collection, days
|
| sensor_loadMonth()
| collection, datestamp, timezone
|
| sensor_loadYear()
| collection, datestamp, timezone
|
| Manipulating an airsensor
| |
| sensor_filter()
| sensor, ...
|
| sensor_filterMeta()
| sensor, ...
|
| sensor_filterDate()
| sensor, startdate, enddate, days, ...
|
| sensor_filterDate()
| sensor, startdate, enddate, timezone
|
| Plotting an airsensor
| |
| sensor_polarPlot()
| sensor, windData, statistic, ...
|
| sensor_pollutionRose()
| sensor, windData, statistic, ...
|
| sensor_calendarPlot()
| sensor, ...
|
Note that each airsensor
object is also a ws_monitor
object and can be
manipulated and plotted with functions from the PWFSLSmoke package.
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