pas_createNew: Load latest PurpleAir synoptic data
In AirSensor: Process and Display Data from Air Quality Sensors

Description Usage Arguments Value See Also Examples

Download, parse and enhance synoptic data from PurpleAir and return the results as a useful tibble with class pa_synoptic.

Steps include:

1) Download and parse synoptic data

2) Replace variable with more consistent, more human readable names.

3) Add spatial metadata for each sensor including:

timezone – olson timezone
countryCode – ISO 3166-1 alpha-2
stateCode – ISO 3166-2 alpha-2

4) Convert data types from character to POSIXct and numeric.

5) Add distance and monitorID for the closest PWFSL monitor

Filtering by country may be performed by specifying the countryCodes argument.

pas_createNew(
  countryCodes = NULL,
  includePWFSL = TRUE,
  lookbackDays = 1,
  baseUrl = "https://www.purpleair.com/json?all=true"
)

`countryCodes`	ISO country codes used to subset the data.
`includePWFSL`	Logical specifying whether to calculate distances from PWFSL monitors.
`lookbackDays`	Number of days to "look back" for valid data. Data are filtered to only include sensors with data more recent than `lookbackDays` ago.
`baseUrl`	Base URL for synoptic data.

A PurpleAir Synoptic pas object.

pas_load

pas_downloadParseRawData

library(AirSensor)

initializeMazamaSpatialUtils()

pas <- pas_createNew("US")

if ( interactive() ) {
  pas %>% 
    pas_filter(stateCode == "CA") %>%
    pas_leaflet()
}