library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bremerhaven <- sunrise.set(53.51934394073345,8.641300817901651, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bremerhaven$sunrise
sunset <- Bremerhaven$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bremerhaven["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bremerhaven["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bremerhaven["timestamp"] <- align.time(Bremerhaven$sunrise, 60*10)
Bremerhaven <- Bremerhaven[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bremerhaven, aes(x=Bremerhaven$timestamp)) + geom_line(aes(y=Bremerhaven$sr)) + geom_line(aes(y=Bremerhaven$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bremerhaven 2024", x = "Datum", y = "Zeit")
pdf("Bremerhaven_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bremerhaven_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bremerhaven["Sonnenaufgang"] <- strftime(Bremerhaven$sr, format="%H:%M")
Bremerhaven["Sonnenuntergang"] <- strftime(Bremerhaven$ss, format="%H:%M")
write.table(Bremerhaven, file="Bremerhaven_SaSu.csv", dec=',', sep=';', row.names=FALSE)