library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Eschach <- sunrise.set(48.8884336,9.869081, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Eschach$sunrise
sunset <- Eschach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Eschach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Eschach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Eschach["timestamp"] <- align.time(Eschach$sunrise, 60*10)
Eschach <- Eschach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Eschach, aes(x=Eschach$timestamp)) + geom_line(aes(y=Eschach$sr)) + geom_line(aes(y=Eschach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Eschach 2023", x = "Datum", y = "Zeit")
pdf("Eschach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Eschach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Eschach["Sonnenaufgang"] <- strftime(Eschach$sr, format="%H:%M")
Eschach["Sonnenuntergang"] <- strftime(Eschach$ss, format="%H:%M")
write.table(Eschach, file="Eschach_SaSu.csv", dec=',', sep=';', row.names=FALSE)