EEAaq_map_stations {EEAaq} | R Documentation |
Create a map representing the stations based on the data given in input or the information specified in the parameters
Description
Build static or dynamic maps, representing the location of the stations that detects the specified pollutants.
It recieves in input an EEAaq_df
or an EEAaq_df_sfc
class object, or, alternatively, it's possible to specify
the required zones and pollutants with the same nomenclature system of the EEAaq_get_data
function.
Usage
EEAaq_map_stations(
data = NULL,
pollutant = NULL,
zone_name = NULL,
NUTS_level = NULL,
ID = FALSE,
bounds_level = NULL,
color = TRUE,
dynamic = FALSE
)
Arguments
data |
an |
pollutant |
character vector containing the short names of the pollutants for which locate the stations. |
zone_name |
character vector specifying the names of the zones to consider. The reference is the NUTS and LAU nomnclature by Eurostat. |
NUTS_level |
chracter that specify the level of NUTS or LAU, to which the |
ID |
logic value (T or F). If |
bounds_level |
character containing the NUTS level or LAU for which draw internal boundaries.
Admissible values are "NUTS0", "NUTS1", "NUTS2", "NUTS3", "LAU" and it must be of a lower level then
the one specified in the parameter |
color |
logical value (T or F). If |
dynamic |
logical value (T or F). If |
Value
A map representing the specified area and the points representing the location of the stations able to detect the specified pollutants.
Examples
#Using as example PM data in Lombardia (Italy) during the whole 2022,
#it's possible to map the stations in two ways.
#First of all specifying the zone information:
EEAaq_map_stations(pollutant = c("PM10", "PM2.5"), zone_name = "Lombardia",
NUTS_level = "NUTS2", ID = FALSE, color = FALSE)
#In this case each point have the same color.
#Alternatively, it is possible to use the data already downloaded in the parameter data,
#coloring the points based on the pollutants the respective station detects.
data <- EEAaq_get_data(zone_name = "Milano", NUTS_level = "LAU",
pollutant = "PM10", from = 2023, to = 2023, ID = FALSE, verbose = TRUE)
EEAaq_map_stations(data = data, color = TRUE)