pat_loadMonth: Load PurpleAir time series data for a month
In AirSensor: Process and Display Data from Air Quality Sensors

Description Usage Arguments Value Note See Also Examples

A pre-generated PurpleAir Timeseries pat object will be loaded for the month requested with datestamp if available. Data are loaded from the archive set with either setArchiveBaseUrl() or setArchiveBaseDir() for locally archived files.

The datestamp must be in the following format:

"YYYYmm"

By default, the current month is loaded.

pat_loadMonth(
  id = NULL,
  label = NULL,
  pas = NULL,
  datestamp = NULL,
  timezone = "America/Los_Angeles"
)

`id`	PurpleAir sensor 'deviceDeploymentID'.
`label`	PurpleAir sensor 'label'.
`pas`	PurpleAir Synoptic pas object.
`datestamp`	Date string in ymd order.
`timezone`	Timezone used to interpret `datestamp`.

A PurpleAir Timeseries pat object.

Archive file names are generated with a unique "device-deployment" identifier by combining a unique location ID with a unique device ID. These "device-deployment" identifiers guarantee that movement of a sensor will result in the creation of a new time series.

Users may request a pat object in one of two ways:

1) Pass in id with a valid a deviceDeploymentID

2) Pass in both label and pas so that the deviceDeploymentID can be looked up.

pat_load

pat_loadLatest

pat_createNew

library(AirSensor)

setArchiveBaseUrl("http://data.mazamascience.com/PurpleAir/v1")

# Reference an older 'pas' before this sensor was dropped
pas <- pas_load(20190901, archival = TRUE)

may <- pat_loadMonth(label = "SCNP_20", pas = pas, datestamp = 201905)
pat_multiPlot(may)