library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ahrensburg <- sunrise.set(53.6764136,10.237885399999982, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ahrensburg$sunrise
sunset <- Ahrensburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ahrensburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ahrensburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ahrensburg["timestamp"] <- align.time(Ahrensburg$sunrise, 60*10)
Ahrensburg <- Ahrensburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ahrensburg, aes(x=Ahrensburg$timestamp)) + geom_line(aes(y=Ahrensburg$sr)) + geom_line(aes(y=Ahrensburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ahrensburg 2024", x = "Datum", y = "Zeit")
pdf("Ahrensburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ahrensburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ahrensburg["Sonnenaufgang"] <- strftime(Ahrensburg$sr, format="%H:%M")
Ahrensburg["Sonnenuntergang"] <- strftime(Ahrensburg$ss, format="%H:%M")
write.table(Ahrensburg, file="Ahrensburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)