library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Tondorf <- sunrise.set(50.47503083504838,6.709256453689591, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Tondorf$sunrise
sunset <- Tondorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Tondorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Tondorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Tondorf["timestamp"] <- align.time(Tondorf$sunrise, 60*10)
Tondorf <- Tondorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Tondorf, aes(x=Tondorf$timestamp)) + geom_line(aes(y=Tondorf$sr)) + geom_line(aes(y=Tondorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Tondorf 2024", x = "Datum", y = "Zeit")
pdf("Tondorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Tondorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Tondorf["Sonnenaufgang"] <- strftime(Tondorf$sr, format="%H:%M")
Tondorf["Sonnenuntergang"] <- strftime(Tondorf$ss, format="%H:%M")
write.table(Tondorf, file="Tondorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)