library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
A_Hohenems <- sunrise.set(47.36978408609509,9.708348433496099, "2022/01/01", 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 2022", 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)