library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Evessen <- sunrise.set(52.1898277,10.715188799999964, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Evessen$sunrise
sunset <- Evessen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Evessen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Evessen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Evessen["timestamp"] <- align.time(Evessen$sunrise, 60*10)
Evessen <- Evessen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Evessen, aes(x=Evessen$timestamp)) + geom_line(aes(y=Evessen$sr)) + geom_line(aes(y=Evessen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Evessen 2024", x = "Datum", y = "Zeit")
pdf("Evessen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Evessen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Evessen["Sonnenaufgang"] <- strftime(Evessen$sr, format="%H:%M")
Evessen["Sonnenuntergang"] <- strftime(Evessen$ss, format="%H:%M")
write.table(Evessen, file="Evessen_SaSu.csv", dec=',', sep=';', row.names=FALSE)