library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Balje <- sunrise.set(53.8304888,9.133880299999987, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Balje$sunrise
sunset <- Balje$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Balje["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Balje["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Balje["timestamp"] <- align.time(Balje$sunrise, 60*10)
Balje <- Balje[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Balje, aes(x=Balje$timestamp)) + geom_line(aes(y=Balje$sr)) + geom_line(aes(y=Balje$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Balje 2021", x = "Datum", y = "Zeit")
pdf("Balje_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Balje_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Balje["Sonnenaufgang"] <- strftime(Balje$sr, format="%H:%M")
Balje["Sonnenuntergang"] <- strftime(Balje$ss, format="%H:%M")
write.table(Balje, file="Balje_SaSu.csv", dec=',', sep=';', row.names=FALSE)