library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
_Gneven <- sunrise.set(53.6357128,11.56878759999995, "2024/01/01", timezone="MET", num.days=370)
sunrise <- _Gneven$sunrise
sunset <- _Gneven$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
_Gneven["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
_Gneven["ss"] <- as.POSIXct(sunset, format = "%H:%M")
_Gneven["timestamp"] <- align.time(_Gneven$sunrise, 60*10)
_Gneven <- _Gneven[c("timestamp", "sr", "ss")]
locsrss <- ggplot(_Gneven, aes(x=_Gneven$timestamp)) + geom_line(aes(y=_Gneven$sr)) + geom_line(aes(y=_Gneven$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - _Gneven 2024", x = "Datum", y = "Zeit")
pdf("_Gneven_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="_Gneven_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
_Gneven["Sonnenaufgang"] <- strftime(_Gneven$sr, format="%H:%M")
_Gneven["Sonnenuntergang"] <- strftime(_Gneven$ss, format="%H:%M")
write.table(_Gneven, file="_Gneven_SaSu.csv", dec=',', sep=';', row.names=FALSE)