| meteofrance | R Documentation | 
The meteofrance data frame is a  table containing snow and weather data obtained through MeteoDataFrance R package (https://github.com/ecor/MeteoDataFrance).
data(meteofrance)
data.frame
It is organized with the following fields:
"latitude":latitude of the weather station;
"longitude":longitude of the weather station;
"station_id":id of the weather station;
"altitude":altitude of the weather station;
"location":location name of the weather station;
"timestamp":POSIXlt date and time:
"VW","TA","TD","RH",...:weather variables(name in accordance with SMET specification);
"*_reapeted":the column is repeated
;
The meteofrance data frem has an attribute: metaparam is a data frame containing meta info on the weather variables:
"Descriptif":weather variable description provided by MeteoFrance (in French);
"IDparam","Mnemonique":MeteoFrance id for the weather variable;
"type":weather variable type;
"unite":measerement unit of the weather variable;
"SMET_ID": SMET id for the weather variable (they are used as field/column names in meteofrance);
"SMET_UNIT_MULTIPIPLIER":SMET unit multiplier respect to the SMET_ID variable's MKSA unit (see SMET specifications);
"SMET_UNIT_OFFSET":SMET unit offset respect to the SMET_ID variable's MKSA unit (see SMET specifications).
Emanuele Cordano
https://donneespubliques.meteofrance.fr(in pariticular https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=94&id_rubrique=32)
as.smet
 
library(ggmap)
data(meteofrance)
## Not run: 
## See help(get_map) documentation and run the example with a connection to Google!
dates <- as.Date(meteofrance$timestamp)
data=meteofrance[dates==dates[1],]
map <- get_map(location ="France", zoom = 6)
size <- 3
gsnow <- ggmap(map) +
		geom_point(data = data,aes(x = longitude, y = latitude),size=size,  alpha
						=1, color="blue",show.legend  = FALSE)
## Uncomment if you want to save in PDF format the otput of gsnow
## ggsave("test-map.pdf", gsnow,width=10,height=10)
## End(Not run)
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