library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Alzey <- sunrise.set(49.7462012,8.1171135, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Alzey$sunrise
sunset <- Alzey$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Alzey["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Alzey["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Alzey["timestamp"] <- align.time(Alzey$sunrise, 60*10)
Alzey <- Alzey[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Alzey, aes(x=Alzey$timestamp)) + geom_line(aes(y=Alzey$sr)) + geom_line(aes(y=Alzey$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Alzey 2024", x = "Datum", y = "Zeit")
pdf("Alzey_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Alzey_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Alzey["Sonnenaufgang"] <- strftime(Alzey$sr, format="%H:%M")
Alzey["Sonnenuntergang"] <- strftime(Alzey$ss, format="%H:%M")
write.table(Alzey, file="Alzey_SaSu.csv", dec=',', sep=';', row.names=FALSE)