monitor_arrange() to reorder time series in a
mts_monitor object based on a variable in
mts_monitor$meta.fullAQSID field in all
loaded data.monitor_loadAnnual() when loading years
before the first year of AirNow data.NW_Megafires dataset to combine data from EPA
AQS, AirNow and WRCC.epa_aqs_loadAnnual().monitor_loadAnnual() to load
epa_aqs data.epaPreference argument to
monitor_load().monitor_combine() with an
overlapStrategy argument. With
overlapStrategy = "replace all", values from later
timeseries (including NA) always replace values from
earlier timeseries. With overlapStrategy = "replace na",
values from later timeseries only replace NA values in
earlier timeseries.NW_Megafires dataset from corrected
database.mts_selectWhere() function.QC_removeSuspectData argument to
airsis_load~() and `wrcc_load~() functions.QC_invalidateConsecutiveSuspectValues()
function.QC_removeSuspectData = TRUE argument to
airsis_load~() and `wrcc_load~() functions to remove those
monitors that have values of 2000 ug/m3. A review of the data from
AIRSIS and WRCC shows some archival time series (2015, 2016, 2020) where
all values are one of 0, 1K, 2K, 3K, 4K, 5K.monitor_selectWhere() for data based
selection.monitor_toPWFSLSmoke() and
monitor_fromPWFSLSmoke() to support the
fullAQSID fieldmonitor_filterDate() and
monitor_filterDatetime() to allow one-sided filtering when
passing in only a single startdate or endddate
argument.Version 0.3 works with data built using a new fullAQSID
field available from AirNow. This unique identifier is more consistent
and should be better supported in the future than the older
AQSID field.
This change requires a few minor changes mostly in function examples.
CRAN fixes:
CRAN fixes:
simplfy = TRUE from calls to
base::apply() as this is the default.Ready for CRAN submission.
airnow_load~() functions o put
parameterName argument last.test-loadData.Repa_aqs_loadAnnual() until those data files get
rebuilt.monitor_timeRange().NaN data values with NA when
loading data.AirFire_S3_archiveBaseUrl as package data.monitor_dailyBarplot() to use the
palette argument.Introduction to AirMonitorDeveloper Style Guidemonitor_combine().archiveBaseUrl to point to
https://airfire-data-exports.s3.us-west-2.amazonaws.com/monitoring/v2.trimEmptyDays argument to
monitor_trimDate().monitor_aqi() and support for plots including:
US_EPA$breaks_AQIpollutant = "AQI" option to all
addAQI~() functionsmonitor_leaflet() so that it can handle
single-timeseries monitor objects.monitor_load() and monitor_loadLatest/Daily/Monthly/Annual()
to intelligently combine data from AirNow, AIRSIS and WRCC.airsis_loadAnnual().monitor_leaflet() now displays deviceDeploymentID in
bold.monitor_combine() with the
replaceMeta argument.airsis_loadAnnual(),
wrcc_loadAnnual(), airnow_loadMonthly().monitor_distance() to
monitor_getDistance() to imply that the returned object is
not a mts_monitor object.monitor_filterByDistance().monitor_getCurrentStatus():
monitor_filterDate()
and monitor_filterDatetime().monitor_isEmpty().monitor_extractData() to
monitor_getData().monitor_extractMeta() to
monitor_getMeta().monitor_getCurrentStatus().monitor_nowcast().monitor_dygraph().monitor_mutate().monitor_filterData() as too confusing because
it returns an irregular time axis. Anyone wanting to do this kind of
work should be familiar enough with dplyr to do it
themselves.monitor_dailyStatistic().monitor_dailyThreshold().monitor_dailyBarplot().aqiColors().monitor_timeseriesPlot() and
monitor_dailyBarplot().airsis_loadLatest(),
wrcc_loadLatest().~_loadDaily().AQSID to coreMetadataNames.monitor_toCSV(),
monitor_toPWFSLSmoke().monitor_collapse(),
monitor_distance() and monitor_select().monitor_filter() to
monitor_filterData() to be more explicit.monitor_timeseriesPlot() default to
addAQI = FALSE.monitor_leaflet() now always shows higher values on
top.monitor_timeseriesPlot().airnow_loadlatest().meta$countyName rather than
meta$county. This reflects changes in
MazamaLocationutils and thus the mts_monitor
objects created by AirMonitorIngest.monitor_leaflet().monitor_timeseriesPlot().monitor_timeInfo() function.CONUS and US_52 collections of state
codes.monitor_bestTimezone().CO, OZONE and
PM10 data.monitor_select() for easier selection of
monitors.monitor_replaceValues().QC_negativeValues argument to
epa_aqs_loadAnnual()