library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
A_Hohenems_ <- sunrise.set(47.36978408609509,9.708348433496099, "2021/01/01", timezone="MET", num.days=370)
sunrise <- A_Hohenems_$sunrise
sunset <- A_Hohenems_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
A_Hohenems_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
A_Hohenems_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
A_Hohenems_["timestamp"] <- align.time(A_Hohenems_$sunrise, 60*10)
A_Hohenems_ <- A_Hohenems_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(A_Hohenems_, aes(x=A_Hohenems_$timestamp)) + geom_line(aes(y=A_Hohenems_$sr)) + geom_line(aes(y=A_Hohenems_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - A_Hohenems_ 2021", x = "Datum", y = "Zeit")
pdf("A_Hohenems__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="A_Hohenems__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
A_Hohenems_["Sonnenaufgang"] <- strftime(A_Hohenems_$sr, format="%H:%M")
A_Hohenems_["Sonnenuntergang"] <- strftime(A_Hohenems_$ss, format="%H:%M")
write.table(A_Hohenems_, file="A_Hohenems__SaSu.csv", dec=',', sep=';', row.names=FALSE)