library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
DE_15518 <- sunrise.set(52.3864736,14.195040000000063, "2021/01/01", timezone="MET", num.days=370)
sunrise <- DE_15518$sunrise
sunset <- DE_15518$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
DE_15518["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
DE_15518["ss"] <- as.POSIXct(sunset, format = "%H:%M")
DE_15518["timestamp"] <- align.time(DE_15518$sunrise, 60*10)
DE_15518 <- DE_15518[c("timestamp", "sr", "ss")]
locsrss <- ggplot(DE_15518, aes(x=DE_15518$timestamp)) + geom_line(aes(y=DE_15518$sr)) + geom_line(aes(y=DE_15518$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - DE_15518 2021", x = "Datum", y = "Zeit")
pdf("DE_15518_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="DE_15518_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
DE_15518["Sonnenaufgang"] <- strftime(DE_15518$sr, format="%H:%M")
DE_15518["Sonnenuntergang"] <- strftime(DE_15518$ss, format="%H:%M")
write.table(DE_15518, file="DE_15518_SaSu.csv", dec=',', sep=';', row.names=FALSE)