wrcc_loadDaily {AirMonitor} | R Documentation |
Load daily WRCC monitoring data
Description
Loads pre-generated .rda files containing daily WRCC data.
If archiveDataDir
is defined, data will be loaded from this local
archive. Otherwise, data will be loaded from the monitoring data repository
maintained by the USFS AirFire team.
The files loaded by this function are updated once per day and contain data for the previous 45 days.
For the most recent data in the last 10 days, use wrcc_loadLatest()
.
For data extended more than 45 days into the past, use wrcc_loadAnnual()
.
Usage
wrcc_loadDaily(
archiveBaseUrl = paste0("https://airfire-data-exports.s3.us-west-2.amazonaws.com/",
"monitoring/v2"),
archiveBaseDir = NULL,
QC_negativeValues = c("zero", "na", "ignore"),
QC_removeSuspectData = TRUE
)
Arguments
archiveBaseUrl |
Base URL for monitoring v2 data files. |
archiveBaseDir |
Local base directory for monitoring v2 data files. |
QC_negativeValues |
Type of QC to apply to negative values. |
QC_removeSuspectData |
Removes monitors determined to be misbehaving. |
Value
A mts_monitor object with WRCC data. (A list with
meta
and data
dataframes.)
Note
Some older WRCC timeseries contain only values of 0, 1000, 2000, 3000, ... ug/m3.
Data from these deployments pass instrument-level QC checks but these
timeseries generally do not represent valid data and should be removed.
With QC_removeSuspectData = TRUE
(the default), data is checked and
periods reporting only values of 0:10 * 1000 ug/m3 are invalidated.
Only those personally familiar with the individual instrument deployments should work with the "suspect" data.
See Also
Examples
## Not run:
library(AirMonitor)
# Fail gracefully if any resources are not available
try({
wrcc_loadDaily() \
monitor_leaflet()
}, silent = FALSE)
## End(Not run)