library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Caszand <- sunrise.set(51.3692317,3.4077694000000065, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Caszand$sunrise
sunset <- Caszand$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Caszand["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Caszand["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Caszand["timestamp"] <- align.time(Caszand$sunrise, 60*10)
Caszand <- Caszand[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Caszand, aes(x=Caszand$timestamp)) + geom_line(aes(y=Caszand$sr)) + geom_line(aes(y=Caszand$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Caszand 2024", x = "Datum", y = "Zeit")
pdf("Caszand_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Caszand_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Caszand["Sonnenaufgang"] <- strftime(Caszand$sr, format="%H:%M")
Caszand["Sonnenuntergang"] <- strftime(Caszand$ss, format="%H:%M")
write.table(Caszand, file="Caszand_SaSu.csv", dec=',', sep=';', row.names=FALSE)