library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
36142_Tann <- sunrise.set(50.64191400000001,10.022696999999993, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 36142_Tann$sunrise
sunset <- 36142_Tann$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
36142_Tann["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
36142_Tann["ss"] <- as.POSIXct(sunset, format = "%H:%M")
36142_Tann["timestamp"] <- align.time(36142_Tann$sunrise, 60*10)
36142_Tann <- 36142_Tann[c("timestamp", "sr", "ss")]
locsrss <- ggplot(36142_Tann, aes(x=36142_Tann$timestamp)) + geom_line(aes(y=36142_Tann$sr)) + geom_line(aes(y=36142_Tann$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 36142_Tann 2025", x = "Datum", y = "Zeit")
pdf("36142_Tann_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="36142_Tann_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
36142_Tann["Sonnenaufgang"] <- strftime(36142_Tann$sr, format="%H:%M")
36142_Tann["Sonnenuntergang"] <- strftime(36142_Tann$ss, format="%H:%M")
write.table(36142_Tann, file="36142_Tann_SaSu.csv", dec=',', sep=';', row.names=FALSE)