library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
03096_Burg <- sunrise.set(51.833,14.149999999999977, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 03096_Burg$sunrise
sunset <- 03096_Burg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
03096_Burg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
03096_Burg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
03096_Burg["timestamp"] <- align.time(03096_Burg$sunrise, 60*10)
03096_Burg <- 03096_Burg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(03096_Burg, aes(x=03096_Burg$timestamp)) + geom_line(aes(y=03096_Burg$sr)) + geom_line(aes(y=03096_Burg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 03096_Burg 2024", x = "Datum", y = "Zeit")
pdf("03096_Burg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="03096_Burg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
03096_Burg["Sonnenaufgang"] <- strftime(03096_Burg$sr, format="%H:%M")
03096_Burg["Sonnenuntergang"] <- strftime(03096_Burg$ss, format="%H:%M")
write.table(03096_Burg, file="03096_Burg_SaSu.csv", dec=',', sep=';', row.names=FALSE)