library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
24000_Kiel <- sunrise.set(54.32933804825251,10.118408203125, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 24000_Kiel$sunrise
sunset <- 24000_Kiel$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
24000_Kiel["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
24000_Kiel["ss"] <- as.POSIXct(sunset, format = "%H:%M")
24000_Kiel["timestamp"] <- align.time(24000_Kiel$sunrise, 60*10)
24000_Kiel <- 24000_Kiel[c("timestamp", "sr", "ss")]
locsrss <- ggplot(24000_Kiel, aes(x=24000_Kiel$timestamp)) + geom_line(aes(y=24000_Kiel$sr)) + geom_line(aes(y=24000_Kiel$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 24000_Kiel 2024", x = "Datum", y = "Zeit")
pdf("24000_Kiel_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="24000_Kiel_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
24000_Kiel["Sonnenaufgang"] <- strftime(24000_Kiel$sr, format="%H:%M")
24000_Kiel["Sonnenuntergang"] <- strftime(24000_Kiel$ss, format="%H:%M")
write.table(24000_Kiel, file="24000_Kiel_SaSu.csv", dec=',', sep=';', row.names=FALSE)