The meteofrance data frame is a table containing snow and weather data obtained through MeteoDataFrance R package (https://github.com/ecor/MeteoDataFrance).
Usage
data(meteofrance)
Format
data.frame
Details
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).
library(ggmap)
data(meteofrance)
dates <- as.Date(meteofrance$timestamp)
data=meteofrance[dates==dates[1],]
map <- get_map(location ="France", zoom = 6)
size <- 3
gsnow <- ggmap(map) +
geom_point(data = data,aes(x = longitude, y = latitude),size=size, alpha
=1, color="blue",show.legend = FALSE)
## Uncomment if you want to save in PDF format the otput of gsnow
## ggsave("test-map.pdf", gsnow,width=10,height=10)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(RSMET)
Loading required package: stringr
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/RSMET/meteofrance.Rd_%03d_medium.png", width=480, height=480)
> ### Name: meteofrance
> ### Title: Snow Weather Data in France
> ### Aliases: meteofrance
>
> ### ** Examples
>
>
>
> library(ggmap)
Loading required package: ggplot2
> data(meteofrance)
>
> dates <- as.Date(meteofrance$timestamp)
>
> data=meteofrance[dates==dates[1],]
>
>
>
> map <- get_map(location ="France", zoom = 6)
Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=France&zoom=6&size=640x640&scale=2&maptype=terrain&language=en-EN&sensor=false
Information from URL : http://maps.googleapis.com/maps/api/geocode/json?address=France&sensor=false
>
> 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)
>
>
>
>
>
>
> dev.off()
null device
1
>