library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
18356_Barth <- sunrise.set(54.3641851,12.7263093, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 18356_Barth$sunrise
sunset <- 18356_Barth$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
18356_Barth["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
18356_Barth["ss"] <- as.POSIXct(sunset, format = "%H:%M")
18356_Barth["timestamp"] <- align.time(18356_Barth$sunrise, 60*10)
18356_Barth <- 18356_Barth[c("timestamp", "sr", "ss")]
locsrss <- ggplot(18356_Barth, aes(x=18356_Barth$timestamp)) + geom_line(aes(y=18356_Barth$sr)) + geom_line(aes(y=18356_Barth$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 18356_Barth 2024", x = "Datum", y = "Zeit")
pdf("18356_Barth_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="18356_Barth_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
18356_Barth["Sonnenaufgang"] <- strftime(18356_Barth$sr, format="%H:%M")
18356_Barth["Sonnenuntergang"] <- strftime(18356_Barth$ss, format="%H:%M")
write.table(18356_Barth, file="18356_Barth_SaSu.csv", dec=',', sep=';', row.names=FALSE)