library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dattenberg <- sunrise.set(50.5532623,7.292199299999993, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Dattenberg$sunrise
sunset <- Dattenberg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dattenberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dattenberg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dattenberg["timestamp"] <- align.time(Dattenberg$sunrise, 60*10)
Dattenberg <- Dattenberg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dattenberg, aes(x=Dattenberg$timestamp)) + geom_line(aes(y=Dattenberg$sr)) + geom_line(aes(y=Dattenberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dattenberg 2023", x = "Datum", y = "Zeit")
pdf("Dattenberg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dattenberg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dattenberg["Sonnenaufgang"] <- strftime(Dattenberg$sr, format="%H:%M")
Dattenberg["Sonnenuntergang"] <- strftime(Dattenberg$ss, format="%H:%M")
write.table(Dattenberg, file="Dattenberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)