library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dohr <- sunrise.set(50.1291059,7.1214691, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dohr$sunrise
sunset <- Dohr$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dohr["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dohr["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dohr["timestamp"] <- align.time(Dohr$sunrise, 60*10)
Dohr <- Dohr[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dohr, aes(x=Dohr$timestamp)) + geom_line(aes(y=Dohr$sr)) + geom_line(aes(y=Dohr$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dohr 2024", x = "Datum", y = "Zeit")
pdf("Dohr_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dohr_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dohr["Sonnenaufgang"] <- strftime(Dohr$sr, format="%H:%M")
Dohr["Sonnenuntergang"] <- strftime(Dohr$ss, format="%H:%M")
write.table(Dohr, file="Dohr_SaSu.csv", dec=',', sep=';', row.names=FALSE)