library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Abbensen <- sunrise.set(52.35,10.15, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Abbensen$sunrise
sunset <- Abbensen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Abbensen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Abbensen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Abbensen["timestamp"] <- align.time(Abbensen$sunrise, 60*10)
Abbensen <- Abbensen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Abbensen, aes(x=Abbensen$timestamp)) + geom_line(aes(y=Abbensen$sr)) + geom_line(aes(y=Abbensen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Abbensen 2021", x = "Datum", y = "Zeit")
pdf("Abbensen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Abbensen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Abbensen["Sonnenaufgang"] <- strftime(Abbensen$sr, format="%H:%M")
Abbensen["Sonnenuntergang"] <- strftime(Abbensen$ss, format="%H:%M")
write.table(Abbensen, file="Abbensen_SaSu.csv", dec=',', sep=';', row.names=FALSE)