library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Brlin_Frohnau <- sunrise.set(52.639737837410266,13.28186591528322, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Brlin_Frohnau$sunrise
sunset <- Brlin_Frohnau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Brlin_Frohnau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Brlin_Frohnau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Brlin_Frohnau["timestamp"] <- align.time(Brlin_Frohnau$sunrise, 60*10)
Brlin_Frohnau <- Brlin_Frohnau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Brlin_Frohnau, aes(x=Brlin_Frohnau$timestamp)) + geom_line(aes(y=Brlin_Frohnau$sr)) + geom_line(aes(y=Brlin_Frohnau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brlin_Frohnau 2023", x = "Datum", y = "Zeit")
pdf("Brlin_Frohnau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Brlin_Frohnau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Brlin_Frohnau["Sonnenaufgang"] <- strftime(Brlin_Frohnau$sr, format="%H:%M")
Brlin_Frohnau["Sonnenuntergang"] <- strftime(Brlin_Frohnau$ss, format="%H:%M")
write.table(Brlin_Frohnau, file="Brlin_Frohnau_SaSu.csv", dec=',', sep=';', row.names=FALSE)