library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
D.E._24649 <- sunrise.set(53.957783,9.904627600000026, "2023/01/01", timezone="MET", num.days=370)
sunrise <- D.E._24649$sunrise
sunset <- D.E._24649$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
D.E._24649["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
D.E._24649["ss"] <- as.POSIXct(sunset, format = "%H:%M")
D.E._24649["timestamp"] <- align.time(D.E._24649$sunrise, 60*10)
D.E._24649 <- D.E._24649[c("timestamp", "sr", "ss")]
locsrss <- ggplot(D.E._24649, aes(x=D.E._24649$timestamp)) + geom_line(aes(y=D.E._24649$sr)) + geom_line(aes(y=D.E._24649$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - D.E._24649 2023", x = "Datum", y = "Zeit")
pdf("D.E._24649_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="D.E._24649_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
D.E._24649["Sonnenaufgang"] <- strftime(D.E._24649$sr, format="%H:%M")
D.E._24649["Sonnenuntergang"] <- strftime(D.E._24649$ss, format="%H:%M")
write.table(D.E._24649, file="D.E._24649_SaSu.csv", dec=',', sep=';', row.names=FALSE)