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)