library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
66453 <- sunrise.set(49.154706,7.234529, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 66453$sunrise
sunset <- 66453$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
66453["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
66453["ss"] <- as.POSIXct(sunset, format = "%H:%M")
66453["timestamp"] <- align.time(66453$sunrise, 60*10)
66453 <- 66453[c("timestamp", "sr", "ss")]
locsrss <- ggplot(66453, aes(x=66453$timestamp)) + geom_line(aes(y=66453$sr)) + geom_line(aes(y=66453$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 66453 2024", x = "Datum", y = "Zeit")
pdf("66453_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="66453_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
66453["Sonnenaufgang"] <- strftime(66453$sr, format="%H:%M")
66453["Sonnenuntergang"] <- strftime(66453$ss, format="%H:%M")
write.table(66453, file="66453_SaSu.csv", dec=',', sep=';', row.names=FALSE)