library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
12047 <- sunrise.set(52.4901314,13.428321900000014, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 12047$sunrise
sunset <- 12047$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
12047["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
12047["ss"] <- as.POSIXct(sunset, format = "%H:%M")
12047["timestamp"] <- align.time(12047$sunrise, 60*10)
12047 <- 12047[c("timestamp", "sr", "ss")]
locsrss <- ggplot(12047, aes(x=12047$timestamp)) + geom_line(aes(y=12047$sr)) + geom_line(aes(y=12047$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 12047 2024", x = "Datum", y = "Zeit")
pdf("12047_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="12047_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
12047["Sonnenaufgang"] <- strftime(12047$sr, format="%H:%M")
12047["Sonnenuntergang"] <- strftime(12047$ss, format="%H:%M")
write.table(12047, file="12047_SaSu.csv", dec=',', sep=';', row.names=FALSE)