library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Egnach <- sunrise.set(47.544670038446355,9.381122589111328, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Egnach$sunrise
sunset <- Egnach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Egnach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Egnach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Egnach["timestamp"] <- align.time(Egnach$sunrise, 60*10)
Egnach <- Egnach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Egnach, aes(x=Egnach$timestamp)) + geom_line(aes(y=Egnach$sr)) + geom_line(aes(y=Egnach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Egnach 2024", x = "Datum", y = "Zeit")
pdf("Egnach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Egnach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Egnach["Sonnenaufgang"] <- strftime(Egnach$sr, format="%H:%M")
Egnach["Sonnenuntergang"] <- strftime(Egnach$ss, format="%H:%M")
write.table(Egnach, file="Egnach_SaSu.csv", dec=',', sep=';', row.names=FALSE)