library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bremen_Huchting <- sunrise.set(53.05345999999999,8.740140200000041, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Bremen_Huchting$sunrise
sunset <- Bremen_Huchting$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bremen_Huchting["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bremen_Huchting["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bremen_Huchting["timestamp"] <- align.time(Bremen_Huchting$sunrise, 60*10)
Bremen_Huchting <- Bremen_Huchting[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bremen_Huchting, aes(x=Bremen_Huchting$timestamp)) + geom_line(aes(y=Bremen_Huchting$sr)) + geom_line(aes(y=Bremen_Huchting$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bremen_Huchting 2023", x = "Datum", y = "Zeit")
pdf("Bremen_Huchting_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bremen_Huchting_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bremen_Huchting["Sonnenaufgang"] <- strftime(Bremen_Huchting$sr, format="%H:%M")
Bremen_Huchting["Sonnenuntergang"] <- strftime(Bremen_Huchting$ss, format="%H:%M")
write.table(Bremen_Huchting, file="Bremen_Huchting_SaSu.csv", dec=',', sep=';', row.names=FALSE)