library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Lütjenburg <- sunrise.set(54.2941415,10.5864414, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Lütjenburg$sunrise
sunset <- Lütjenburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Lütjenburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Lütjenburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Lütjenburg["timestamp"] <- align.time(Lütjenburg$sunrise, 60*10)
Lütjenburg <- Lütjenburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Lütjenburg, aes(x=Lütjenburg$timestamp)) + geom_line(aes(y=Lütjenburg$sr)) + geom_line(aes(y=Lütjenburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Lütjenburg 2024", x = "Datum", y = "Zeit")
pdf("Lütjenburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Lütjenburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Lütjenburg["Sonnenaufgang"] <- strftime(Lütjenburg$sr, format="%H:%M")
Lütjenburg["Sonnenuntergang"] <- strftime(Lütjenburg$ss, format="%H:%M")
write.table(Lütjenburg, file="Lütjenburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)