Identify AIRSIS monitor type

Source: R/airsis_identifyMonitorType.R

Examine the column names of the incoming dataframe (or first line of raw text) to identify different types of monitor data provided by AIRSIS.

The return is a list includes everything needed to identify and parse the raw data using readr::read_csv():

  • monitorType -- identification string

  • rawNames -- column names from the data (including special characters)

  • columnNames -- assigned column names (special characters repaced with '.')

  • columnTypes -- column type string for use with readr::read_csv()

The monitorType will be one of:

  • "BAM1020" -- BAM1020 (e.g. USFS #49 in 2010)

  • "EBAM" -- EBAM (e.g. USFS #1026 in 2010)

  • "ESAM" -- E-Sampler (e.g. USFS #1002 in 2010)

  • "UNKOWN" -- ???

airsis_identifyMonitorType(df)

Arguments

df

dataframe or raw character string containing AIRSIS data

Value

List including monitorType, rawNames, columnNames and columnTypes.

References

Interagency Real Time Smoke Monitoring

Examples

if (FALSE) {
# Fail gracefully if any resources are not available
try({

fileString <- airsis_downloadData( 20150701, 20151231, provider='USFS', unitID='1026')
monitorTypeList <- airsis_identifyMonitorType(fileString)

}, silent = FALSE)
}