monitor_isolate: Isolate Individual Monitors

In PWFSLSmoke: Utilities for Working with Air Quality Monitoring Data

Description

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.

Usage

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
monitorList <- monitor_isolate(Spokane)
names(monitorList)

PWFSLSmoke documentation built on Nov. 23, 2021, 5:06 p.m.