library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Aschbach_Markt <- sunrise.set(48.0728629,14.7528843, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Aschbach_Markt$sunrise
sunset <- Aschbach_Markt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Aschbach_Markt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Aschbach_Markt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Aschbach_Markt["timestamp"] <- align.time(Aschbach_Markt$sunrise, 60*10)
Aschbach_Markt <- Aschbach_Markt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Aschbach_Markt, aes(x=Aschbach_Markt$timestamp)) + geom_line(aes(y=Aschbach_Markt$sr)) + geom_line(aes(y=Aschbach_Markt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Aschbach_Markt 2024", x = "Datum", y = "Zeit")
pdf("Aschbach_Markt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Aschbach_Markt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Aschbach_Markt["Sonnenaufgang"] <- strftime(Aschbach_Markt$sr, format="%H:%M")
Aschbach_Markt["Sonnenuntergang"] <- strftime(Aschbach_Markt$ss, format="%H:%M")
write.table(Aschbach_Markt, file="Aschbach_Markt_SaSu.csv", dec=',', sep=';', row.names=FALSE)