After an AIRSIS tibble has been enhanced with
additional columns generated by addClustering we are ready to
pull out site information associated with unique deployments.
These will be rearranged into a dataframe organized as deployment-by-property with one row for each monitor deployment.
This site information found in tbl is augmented so that we end up with a uniform
set of properties associated with each monitor deployment. The list of
columns in the returned meta dataframe is:
> names(p$meta) [1] "monitorID" "longitude" "latitude" [4] "elevation" "timezone" "countryCode" [7] "stateCode" "siteName" "agencyName" [10] "countyName" "msaName" "monitorType" [13] "monitorInstrument" "aqsID" "pwfslID" [16] "pwfslDataIngestSource" "telemetryAggregator" "telemetryUnitID"
airsis_createMetaDataframe(tbl, provider = as.character(NA),
unitID = as.character(NA), pwfslDataIngestSource = "AIRSIS",
existingMeta = NULL, addGoogleMeta = TRUE)single site AIRSIS tibble after metadata enhancement
identifier used to modify baseURL ['APCD'|'USFS']
character or numeric AIRSIS unit identifier
identifier for the source of monitoring data, e.g. 'AIRSIS', 'AIRSIS_DUMPFILE'
existing 'meta' dataframe from which to obtain metadata for known monitor deployments
logicial specifying wheter to use Google elevation and reverse geocoding services
A meta dataframe for use in a ws_monitor object.