library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Andisleben <- sunrise.set(51.0825164,10.928210799999988, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Andisleben$sunrise
sunset <- Andisleben$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Andisleben["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Andisleben["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Andisleben["timestamp"] <- align.time(Andisleben$sunrise, 60*10)
Andisleben <- Andisleben[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Andisleben, aes(x=Andisleben$timestamp)) + geom_line(aes(y=Andisleben$sr)) + geom_line(aes(y=Andisleben$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Andisleben 2025", x = "Datum", y = "Zeit")
pdf("Andisleben_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Andisleben_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Andisleben["Sonnenaufgang"] <- strftime(Andisleben$sr, format="%H:%M")
Andisleben["Sonnenuntergang"] <- strftime(Andisleben$ss, format="%H:%M")
write.table(Andisleben, file="Andisleben_SaSu.csv", dec=',', sep=';', row.names=FALSE)