library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
18556 <- sunrise.set(54.6439306,13.3453917, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 18556$sunrise
sunset <- 18556$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
18556["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
18556["ss"] <- as.POSIXct(sunset, format = "%H:%M")
18556["timestamp"] <- align.time(18556$sunrise, 60*10)
18556 <- 18556[c("timestamp", "sr", "ss")]
locsrss <- ggplot(18556, aes(x=18556$timestamp)) + geom_line(aes(y=18556$sr)) + geom_line(aes(y=18556$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 18556 2025", x = "Datum", y = "Zeit")
pdf("18556_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="18556_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
18556["Sonnenaufgang"] <- strftime(18556$sr, format="%H:%M")
18556["Sonnenuntergang"] <- strftime(18556$ss, format="%H:%M")
write.table(18556, file="18556_SaSu.csv", dec=',', sep=';', row.names=FALSE)