library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Tornesch <- sunrise.set(53.6977863,9.718433699999991, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Tornesch$sunrise
sunset <- Tornesch$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Tornesch["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Tornesch["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Tornesch["timestamp"] <- align.time(Tornesch$sunrise, 60*10)
Tornesch <- Tornesch[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Tornesch, aes(x=Tornesch$timestamp)) + geom_line(aes(y=Tornesch$sr)) + geom_line(aes(y=Tornesch$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Tornesch 2024", x = "Datum", y = "Zeit")
pdf("Tornesch_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Tornesch_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Tornesch["Sonnenaufgang"] <- strftime(Tornesch$sr, format="%H:%M")
Tornesch["Sonnenuntergang"] <- strftime(Tornesch$ss, format="%H:%M")
write.table(Tornesch, file="Tornesch_SaSu.csv", dec=',', sep=';', row.names=FALSE)