library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
_Zell_am_Ziller <- sunrise.set(47.2333597,11.8818949, "2024/01/01", timezone="MET", num.days=370)
sunrise <- _Zell_am_Ziller$sunrise
sunset <- _Zell_am_Ziller$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
_Zell_am_Ziller["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
_Zell_am_Ziller["ss"] <- as.POSIXct(sunset, format = "%H:%M")
_Zell_am_Ziller["timestamp"] <- align.time(_Zell_am_Ziller$sunrise, 60*10)
_Zell_am_Ziller <- _Zell_am_Ziller[c("timestamp", "sr", "ss")]
locsrss <- ggplot(_Zell_am_Ziller, aes(x=_Zell_am_Ziller$timestamp)) + geom_line(aes(y=_Zell_am_Ziller$sr)) + geom_line(aes(y=_Zell_am_Ziller$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - _Zell_am_Ziller 2024", x = "Datum", y = "Zeit")
pdf("_Zell_am_Ziller_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="_Zell_am_Ziller_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
_Zell_am_Ziller["Sonnenaufgang"] <- strftime(_Zell_am_Ziller$sr, format="%H:%M")
_Zell_am_Ziller["Sonnenuntergang"] <- strftime(_Zell_am_Ziller$ss, format="%H:%M")
write.table(_Zell_am_Ziller, file="_Zell_am_Ziller_SaSu.csv", dec=',', sep=';', row.names=FALSE)