library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dehrn <- sunrise.set(50.4196111,8.099700999999982, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Dehrn$sunrise
sunset <- Dehrn$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dehrn["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dehrn["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dehrn["timestamp"] <- align.time(Dehrn$sunrise, 60*10)
Dehrn <- Dehrn[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dehrn, aes(x=Dehrn$timestamp)) + geom_line(aes(y=Dehrn$sr)) + geom_line(aes(y=Dehrn$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dehrn 2021", x = "Datum", y = "Zeit")
pdf("Dehrn_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dehrn_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dehrn["Sonnenaufgang"] <- strftime(Dehrn$sr, format="%H:%M")
Dehrn["Sonnenuntergang"] <- strftime(Dehrn$ss, format="%H:%M")
write.table(Dehrn, file="Dehrn_SaSu.csv", dec=',', sep=';', row.names=FALSE)