library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dunningen <- sunrise.set(48.2123821,8.50593, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dunningen$sunrise
sunset <- Dunningen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dunningen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dunningen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dunningen["timestamp"] <- align.time(Dunningen$sunrise, 60*10)
Dunningen <- Dunningen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dunningen, aes(x=Dunningen$timestamp)) + geom_line(aes(y=Dunningen$sr)) + geom_line(aes(y=Dunningen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dunningen 2024", x = "Datum", y = "Zeit")
pdf("Dunningen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dunningen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dunningen["Sonnenaufgang"] <- strftime(Dunningen$sr, format="%H:%M")
Dunningen["Sonnenuntergang"] <- strftime(Dunningen$ss, format="%H:%M")
write.table(Dunningen, file="Dunningen_SaSu.csv", dec=',', sep=';', row.names=FALSE)