get_ARPA_Lombardia_AQ_municipal_data: Download air quality data at manucipal from ARPA Lombardia...

In ARPALData: Retrieving and Analyzing Air Quality and Weather Data from ARPA Lombardia

Download air quality data at manucipal from ARPA Lombardia website

Description

'get_ARPA_Lombardia_AQ_municipal_data' returns the air quality levels at municipal level estimated by ARPA Lombardia using a physico-chemical model which simulates air quality based on weather and geo-physical variables. For each municipality of Lombardy, ARPA estimates the average (NO2_mean) and maximum daily (NO2_max_day) level of NO2, the daily maximum (Ozone_max_day) and the 8-hours moving window maximum (Ozone_max_8h) of Ozone and the average levels of PM10 (PM10_mean) and PM2.5 (PM2.5_mean). Data are available from 2011 and are updated up to the current date. For more information about the municipal data visit the section 'Stime comunali dell'aria' at the webpage: https://www.dati.lombardia.it/stories/s/auv9-c2sj

Usage

get_ARPA_Lombardia_AQ_municipal_data(
  ID_station = NULL,
  Date_begin = "2021-01-01",
  Date_end = "2022-12-31",
  Frequency = "daily",
  Var_vec = NULL,
  Fns_vec = NULL,
  by_sensor = FALSE,
  verbose = TRUE,
  parallel = FALSE,
  parworkers = NULL,
  parfuturetype = "multisession"
)

Arguments

ID_station	Numeric value. ID of the station to consider. Using ID_station = NULL, all the available stations are selected. Default is ID_station = NULL.
Date_begin	Character vector of the first date-time to download. Format can be either "YYYY-MM-DD" or "YYYY-MM-DD hh:mm:ss". Default is Date_begin = "2022-01-01".
Date_end	Character vector of the last date-time to download. Format can be either "YYYY-MM-DD" or "YYYY-MM-DD hh:mm:ss". Default is Date_end = "2022-12-31".
Frequency	Temporal aggregation frequency. It can be "daily", "weekly", "monthly" or "yearly". Default is Frequency = "daily".
Var_vec	Character vector of variables to aggregate. If NULL (default) all the variables are averaged.
Fns_vec	Character vector of aggregation function to apply to the selected variables. Available functions are mean, median, min, max, sum, qPP (PP-th percentile), sd, var, vc (variability coefficient), skew (skewness) and kurt (kurtosis).
by_sensor	Logic value (TRUE or FALSE). If 'by_sensor = TRUE', the function returns the observed concentrations by sensor code, while if 'by_sensor = FALSE' (default) it returns the observed concentrations by station.
verbose	Logic value (TRUE or FALSE). Toggle warnings and messages. If 'verbose = TRUE' (default) the function prints on the screen some messages describing the progress of the tasks. If 'verbose = FALSE' any message about the progression is suppressed.
parallel	Logic value (TRUE or FALSE). If 'parallel = FALSE' (default), data downloading is performed using a sequential/serial approach and additional parameters 'parworkers' and 'parfuturetype' are ignored. When 'parallel = TRUE', data downloading is performed using parallel computing through the Futureverse setting. More detailed information about parallel computing in the Futureverse can be found at the following webpages: https://future.futureverse.org/ and https://cran.r-project.org/web/packages/future.apply/vignettes/future.apply-1-overview.html
parworkers	Numeric integer value. If 'parallel = TRUE' (parallel mode active), the user can declare the number of parallel workers to be activated using 'parworkers = integer number'. By default ('parworkers = NULL'), the number of active workers is half of the available local cores.
parfuturetype	Character vector. If 'parallel = TRUE' (parallel mode active), the user can declare the parallel strategy to be used according to the Futureverse syntax through 'parfuturetype'. By default, the 'multisession' (background R sessions on local machine) is used. In alternative, the 'multicore' (forked R processes on local machine. Not supported by Windows and RStudio) setting can be used.

Details

More detailed description.

Value

A data frame of class 'data.frame' and 'ARPALdf'. The object is fully compatible with Tidyverse. The column 'NameStation' identifies the name of each municipality. The column 'IDStation' is an ID code (assigned from ARPA) uniquely identifying each municipality.

Examples

## Download daily concentrations at municipal levels observed in 2020
## for all the municipalities in Lombardy
if (require("RSocrata")) {
    get_ARPA_Lombardia_AQ_municipal_data(ID_station=NULL,Date_begin = "2020-01-01",
          Date_end = "2020-12-31", Frequency="daily")
}
## Download monthly concentrations of NO2 (average and maximum) observed in 2021
## at city number 100451.
if (require("RSocrata")) {
    get_ARPA_Lombardia_AQ_municipal_data(ID_station=100451,Date_begin = "2021-01-01",
          Date_end = "2021-12-31", Frequency="monthly",Var_vec=c("NO2_mean","NO2_mean"),
          Fns_vec=c("mean","max"))
}
## Download daily concentrations observed in March and April 2022 at city number 100451.
## Data are reported by sensor.
if (require("RSocrata")) {
    get_ARPA_Lombardia_AQ_municipal_data(ID_station=100451, Date_begin = "2022-03-01",
          Date_end = "2022-04-30", by_sensor = TRUE)
}

ARPALData documentation built on Sept. 26, 2023, 5:07 p.m.