library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Fehmarn <- sunrise.set(54.4600619,11.13374060000001, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Fehmarn$sunrise
sunset <- Fehmarn$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Fehmarn["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Fehmarn["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Fehmarn["timestamp"] <- align.time(Fehmarn$sunrise, 60*10)
Fehmarn <- Fehmarn[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Fehmarn, aes(x=Fehmarn$timestamp)) + geom_line(aes(y=Fehmarn$sr)) + geom_line(aes(y=Fehmarn$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Fehmarn 2024", x = "Datum", y = "Zeit")
pdf("Fehmarn_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Fehmarn_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Fehmarn["Sonnenaufgang"] <- strftime(Fehmarn$sr, format="%H:%M")
Fehmarn["Sonnenuntergang"] <- strftime(Fehmarn$ss, format="%H:%M")
write.table(Fehmarn, file="Fehmarn_SaSu.csv", dec=',', sep=';', row.names=FALSE)