library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Rorschach <- sunrise.set(47.4738018,9.4927814, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Rorschach$sunrise
sunset <- Rorschach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Rorschach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Rorschach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Rorschach["timestamp"] <- align.time(Rorschach$sunrise, 60*10)
Rorschach <- Rorschach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Rorschach, aes(x=Rorschach$timestamp)) + geom_line(aes(y=Rorschach$sr)) + geom_line(aes(y=Rorschach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Rorschach 2024", x = "Datum", y = "Zeit")
pdf("Rorschach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Rorschach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Rorschach["Sonnenaufgang"] <- strftime(Rorschach$sr, format="%H:%M")
Rorschach["Sonnenuntergang"] <- strftime(Rorschach$ss, format="%H:%M")
write.table(Rorschach, file="Rorschach_SaSu.csv", dec=',', sep=';', row.names=FALSE)