airsis_loadLatest {AirMonitor} | R Documentation |
Load most recent AIRSIS monitoring data
Description
Loads pre-generated .rda files containing the most recent AIRSIS 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 multiple times an hour and contain data for the previous 10 days.
For daily updates covering the most recent 45 days, use airsis_loadDaily()
.
For data extended more than 45 days into the past, use airsis_loadAnnual()
.
Usage
airsis_loadLatest(
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 AIRSIS data. (A list with
meta
and data
dataframes.)
Note
Some older AIRSIS 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({
airsis_loadLatest()\ %>\
monitor_filter(stateCode == "CA") \
monitor_leaflet()
}, silent = FALSE)
## End(Not run)