library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
80995_München <- sunrise.set(48.19841966546253,11.525859832763672, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 80995_München$sunrise
sunset <- 80995_München$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
80995_München["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
80995_München["ss"] <- as.POSIXct(sunset, format = "%H:%M")
80995_München["timestamp"] <- align.time(80995_München$sunrise, 60*10)
80995_München <- 80995_München[c("timestamp", "sr", "ss")]
locsrss <- ggplot(80995_München, aes(x=80995_München$timestamp)) + geom_line(aes(y=80995_München$sr)) + geom_line(aes(y=80995_München$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 80995_München 2024", x = "Datum", y = "Zeit")
pdf("80995_München_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="80995_München_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
80995_München["Sonnenaufgang"] <- strftime(80995_München$sr, format="%H:%M")
80995_München["Sonnenuntergang"] <- strftime(80995_München$ss, format="%H:%M")
write.table(80995_München, file="80995_München_SaSu.csv", dec=',', sep=';', row.names=FALSE)