After a WRCC 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"
wrcc_createMetaDataframe(tbl, unitID = as.character(NA),
pwfslDataIngestSource = "WRCC", existingMeta = NULL,
addGoogleMeta = FALSE, addEsriMeta = FALSE)
single site WRCC tibble after metadata enhancement
character or numeric WRCC unit identifier
identifier for the source of monitoring data, e.g. 'WRCC'
existing 'meta' dataframe from which to obtain metadata for known monitor deployments
logicial specifying wheter to use Google elevation and reverse geocoding services
logicial specifying wheter to use ESRI elevation and reverse geocoding services
A meta
dataframe for use in a ws_monitor object.