Isolate Individual Monitors

Source: R/monitor_isolate.R

Filters ws_monitor according to the parameters passed in. If any parameter is not specified, that parameter will not be used in the filtering.

After filtering, each monitorID found in ws_monitor is extracted and its data dataframe is restricted to the times from when that monitor first datapoint until its last datapoint.

This function is useful when ws_monitor objects are created for mobile monitors that are deployed to different locations in different years.

monitor_isolate(
  ws_monitor,
  xlim = NULL,
  ylim = NULL,
  tlim = NULL,
  monitorIDs = NULL,
  stateCodes = NULL,
  timezone = "UTC"
)

Arguments

ws_monitor

ws_monitor object
xlim

optional vector with low and high longitude limits
ylim

optional vector with low and high latitude limits
tlim

optional vector with start and end times (integer or character representing YYYYMMDD[HH] or POSIXct)
monitorIDs

optional vector of monitorIDs
stateCodes

optional vector of stateCodes
timezone

Olson timezone passed to parseDatetime when parsing numeric tlim

Value

A list of isolated ws_monitor objects.

See also

monitor_subset

Examples

N_M <- Northwest_Megafires
# monitor_leaflet(N_M) # to identify Spokane monitorIDs
Spokane <- monitor_subsetBy(N_M, stringr::str_detect(N_M$meta$monitorID,'^53063'))
Spokane$meta$monitorID

#> [1] "530630047_01" "530630021_01" "530639999_01" "530639997_01" "530639996_01"
monitorList <- monitor_isolate(Spokane)
names(monitorList)

#> [1] "530630047_01" "530630021_01" "530639999_01" "530639997_01" "530639996_01"