library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Eddigehausen <- sunrise.set(51.5949772,9.957173799999964, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Eddigehausen$sunrise
sunset <- Eddigehausen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Eddigehausen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Eddigehausen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Eddigehausen["timestamp"] <- align.time(Eddigehausen$sunrise, 60*10)
Eddigehausen <- Eddigehausen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Eddigehausen, aes(x=Eddigehausen$timestamp)) + geom_line(aes(y=Eddigehausen$sr)) + geom_line(aes(y=Eddigehausen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Eddigehausen 2021", x = "Datum", y = "Zeit")
pdf("Eddigehausen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Eddigehausen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Eddigehausen["Sonnenaufgang"] <- strftime(Eddigehausen$sr, format="%H:%M")
Eddigehausen["Sonnenuntergang"] <- strftime(Eddigehausen$ss, format="%H:%M")
write.table(Eddigehausen, file="Eddigehausen_SaSu.csv", dec=',', sep=';', row.names=FALSE)