library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bremen <- sunrise.set(53.07929619999999,8.801693600000021, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bremen$sunrise
sunset <- Bremen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bremen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bremen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bremen["timestamp"] <- align.time(Bremen$sunrise, 60*10)
Bremen <- Bremen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bremen, aes(x=Bremen$timestamp)) + geom_line(aes(y=Bremen$sr)) + geom_line(aes(y=Bremen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bremen 2024", x = "Datum", y = "Zeit")
pdf("Bremen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bremen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bremen["Sonnenaufgang"] <- strftime(Bremen$sr, format="%H:%M")
Bremen["Sonnenuntergang"] <- strftime(Bremen$ss, format="%H:%M")
write.table(Bremen, file="Bremen_SaSu.csv", dec=',', sep=';', row.names=FALSE)