library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Wörrstadt <- sunrise.set(49.8423554,8.116063599999961, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Wörrstadt$sunrise
sunset <- Wörrstadt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Wörrstadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Wörrstadt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Wörrstadt["timestamp"] <- align.time(Wörrstadt$sunrise, 60*10)
Wörrstadt <- Wörrstadt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Wörrstadt, aes(x=Wörrstadt$timestamp)) + geom_line(aes(y=Wörrstadt$sr)) + geom_line(aes(y=Wörrstadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Wörrstadt 2024", x = "Datum", y = "Zeit")
pdf("Wörrstadt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Wörrstadt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Wörrstadt["Sonnenaufgang"] <- strftime(Wörrstadt$sr, format="%H:%M")
Wörrstadt["Sonnenuntergang"] <- strftime(Wörrstadt$ss, format="%H:%M")
write.table(Wörrstadt, file="Wörrstadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)