library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Asslschwang <- sunrise.set(49.219356,11.325295, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Asslschwang$sunrise
sunset <- Asslschwang$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Asslschwang["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Asslschwang["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Asslschwang["timestamp"] <- align.time(Asslschwang$sunrise, 60*10)
Asslschwang <- Asslschwang[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Asslschwang, aes(x=Asslschwang$timestamp)) + geom_line(aes(y=Asslschwang$sr)) + geom_line(aes(y=Asslschwang$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Asslschwang 2024", x = "Datum", y = "Zeit")
pdf("Asslschwang_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Asslschwang_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Asslschwang["Sonnenaufgang"] <- strftime(Asslschwang$sr, format="%H:%M")
Asslschwang["Sonnenuntergang"] <- strftime(Asslschwang$ss, format="%H:%M")
write.table(Asslschwang, file="Asslschwang_SaSu.csv", dec=',', sep=';', row.names=FALSE)