library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Mainz <- sunrise.set(49.93918930569473,7.546014189720154, "2020/01/01", timezone="MET", num.days=370)
sunrise <- Mainz$sunrise
sunset <- Mainz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Mainz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Mainz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Mainz["timestamp"] <- align.time(Mainz$sunrise, 60*10)
Mainz <- Mainz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Mainz, aes(x=Mainz$timestamp)) + geom_line(aes(y=Mainz$sr)) + geom_line(aes(y=Mainz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Mainz 2020", x = "Datum", y = "Zeit")
pdf("Mainz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Mainz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Mainz["Sonnenaufgang"] <- strftime(Mainz$sr, format="%H:%M")
Mainz["Sonnenuntergang"] <- strftime(Mainz$ss, format="%H:%M")
write.table(Mainz, file="Mainz_SaSu.csv", dec=',', sep=';', row.names=FALSE)