library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Eutin <- sunrise.set(54.15569952460423,10.713043212890625, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Eutin$sunrise
sunset <- Eutin$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Eutin["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Eutin["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Eutin["timestamp"] <- align.time(Eutin$sunrise, 60*10)
Eutin <- Eutin[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Eutin, aes(x=Eutin$timestamp)) + geom_line(aes(y=Eutin$sr)) + geom_line(aes(y=Eutin$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Eutin 2024", x = "Datum", y = "Zeit")
pdf("Eutin_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Eutin_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Eutin["Sonnenaufgang"] <- strftime(Eutin$sr, format="%H:%M")
Eutin["Sonnenuntergang"] <- strftime(Eutin$ss, format="%H:%M")
write.table(Eutin, file="Eutin_SaSu.csv", dec=',', sep=';', row.names=FALSE)