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AtmChile

AtmChile is an R package designed to download and compile information on air quality and meteorological parameters in Chile. It sources data from: * SINCA: National Air Quality System (Ministry of the Environment). * DMC: Meteorological Directorate of Chile (Directorate General of Civil Aeronautics).

Project developed by: Department of Chemistry, Faculty of Sciences of the University of Chile. Funding: FONDECYT Project 1200674.

Installation

You can install the stable version from CRAN:

install.packages("AtmChile")

Or the development version from GitHub:

# install.packages("devtools")
devtools::install_github("franciscoxaxo/AtmChile")

Usage

Load the library:

library(AtmChile)

1. ChileAirQuality

Retrieves air quality data from the National Air Quality System (SINCA).

Available Parameters:

How to find station codes: To view the full table of available monitoring stations and their codes (e.g., “SA” for Parque O’Higgins), run the function without arguments:

# View available stations
stations <- ChileAirQuality()
print(stations)

Arguments:

• Comunas: Vector containing names or codes of the monitoring stations (e.g., “Cerrillos”, “SA”). Use "all" for all stations.
• Parametros: Vector containing the names of air quality parameters. Use "all" for all parameters.
• fechadeInicio: Start date (format “dd/mm/yyyy”).
• fechadeTermino: End date (format “dd/mm/yyyy”).
• Curar: Logical (TRUE/FALSE). Activates data curation for particulate matter, NOx, RH, and wind direction. Default: TRUE.
• Site: Logical. If TRUE, allows searching by station code instead of name in Comunas. Default: FALSE.
• st: Logical. If TRUE, includes validation reports from SINCA (“NV”: Not Validated, “PV”: Pre-Validated, “V”: Validated). Default: FALSE.

Examples:

# Example 1: Basic request by name
data_names <- ChileAirQuality(
  Comunas = "Cerrillos",
  Parametros = c("PM10", "PM25"),
  fechadeInicio = "01/01/2020",
  fechadeTermino = "01/01/2021"
)

# Example 2: Request by Station Code (Site = TRUE) without curation
data_codes <- ChileAirQuality(
  Comunas = c("SA", "CE"),
  Parametros = c("NO2", "O3"),
  fechadeInicio = "01/01/2020",
  fechadeTermino = "01/01/2021",
  Curar = FALSE,
  Site = TRUE
)

# Example 3: Download everything (All stations, all parameters)
data_all <- ChileAirQuality(
  Comunas = "all",
  Parametros = "all",
  fechadeInicio = "01/01/2020",
  fechadeTermino = "01/01/2021"
)

2. ChileClimateData

Retrieves climate data from the Meteorological Directorate of Chile (DMC).

Available Parameters: * Temperatura (Temperature) * PuntoRocio (Dew point) * Humedad (Humidity) * Viento (Wind) * PresionQFF (Pressure at sea level) * PresionQFE (Pressure at station level)

How to find station codes: To see the table with the available weather stations:

# View available climate stations
climate_stations <- ChileClimateData()
print(climate_stations)

Arguments:

• Estaciones: Vector containing codes of the monitoring stations (e.g., “180005”).
• Parametros: Vector containing the names of climate parameters.
• inicio: Text string containing the start year (e.g., “2020”).
• fin: Text string containing the end year (e.g., “2021”).
• Region: Logical. If TRUE, allows entering the administrative region code (e.g., “XV”, “RM”) in Estaciones instead of the station code.

Examples:

# Example 1: Request by specific station codes
climate_data <- ChileClimateData(
  Estaciones = c("180005", "200006"),
  Parametros = c("Temperatura", "Humedad", "Viento"),
  inicio = "2020",
  fin = "2021"
)

# Example 2: Request by Administrative Region
region_data <- ChileClimateData(
  Estaciones = "II",
  Parametros = "Temperatura",
  inicio = "2020",
  fin = "2021",
  Region = TRUE
)

3. ChileAirQualityApp

A Shiny dashboard that provides a graphical interface for the package. It allows users to download data, perform analysis, visualize trends, and calculate descriptive statistics without writing code.

# Launch the local app
ChileAirQualityApp()

This dashboard is also hosted online at: ChileAirQualityApp on ShinyApps.io

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.