library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
D_82024 <- sunrise.set(48.0389787,11.6265608, "2024/01/01", timezone="MET", num.days=370)
sunrise <- D_82024$sunrise
sunset <- D_82024$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
D_82024["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
D_82024["ss"] <- as.POSIXct(sunset, format = "%H:%M")
D_82024["timestamp"] <- align.time(D_82024$sunrise, 60*10)
D_82024 <- D_82024[c("timestamp", "sr", "ss")]
locsrss <- ggplot(D_82024, aes(x=D_82024$timestamp)) + geom_line(aes(y=D_82024$sr)) + geom_line(aes(y=D_82024$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - D_82024 2024", x = "Datum", y = "Zeit")
pdf("D_82024_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="D_82024_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
D_82024["Sonnenaufgang"] <- strftime(D_82024$sr, format="%H:%M")
D_82024["Sonnenuntergang"] <- strftime(D_82024$ss, format="%H:%M")
write.table(D_82024, file="D_82024_SaSu.csv", dec=',', sep=';', row.names=FALSE)