wrcc_createRawDataframe: Obtain WRCC data and parse into a tibble

In PWFSLSmoke: Utilities for Working with Air Quality Monitoring Data

Description

Obtains monitor data from a WRCC webservice and converts it into a quality controlled, metadata enhanced "raw" tibble ready for use with all raw_~ functions.

Steps involved include:

1. download CSV text

2. parse CSV text

3. apply quality control

4. apply clustering to determine unique deployments

5. enhance metadata to include: elevation, timezone, state, country, site name

Usage

wrcc_createRawDataframe(
  startdate = strftime(lubridate::now(tzone = "UTC"), "%Y010100", tz = "UTC"),
  enddate = strftime(lubridate::now(tzone = "UTC"), "%Y%m%d23", tz = "UTC"),
  unitID = NULL,
  clusterDiameter = 1000,
  baseUrl = "https://wrcc.dri.edu/cgi-bin/wea_list2.pl",
  saveFile = NULL,
  flagAndKeep = FALSE
)

Arguments

startdate	Desired start date (integer or character representing YYYYMMDD[HH]).
enddate	Desired end date (integer or character representing YYYYMMDD[HH]).
unitID	Station identifier (will be upcased).
clusterDiameter	Diameter in meters used to determine the number of clusters (see addClustering).
baseUrl	Base URL for data queries.
saveFile	Optional filename where raw CSV will be written.
flagAndKeep	Flag, rather then remove, bad data during the QC process.

Value

Raw tibble of WRCC data.

Note

The downloaded CSV may be saved to a local file by providing an argument to the saveFile parameter.

Monitor unitIDs can be found at https://wrcc.dri.edu/cgi-bin/smoke.pl.

References

Fire Cache Smoke Monitoring Archive

See Also

wrcc_downloadData

wrcc_parseData

wrcc_qualityControl

addClustering

Examples

## Not run: 
# Fail gracefully if any resources are not available
try({

library(PWFSLSmoke)

tbl <- wrcc_createRawDataframe(20150701, 20150930, unitID = 'SM16')
dplyr::glimpse(tbl)

}, silent = FALSE)

## End(Not run)

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