library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Butzbach <- sunrise.set(50.43503579999999,8.6688418, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Butzbach$sunrise
sunset <- Butzbach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Butzbach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Butzbach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Butzbach["timestamp"] <- align.time(Butzbach$sunrise, 60*10)
Butzbach <- Butzbach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Butzbach, aes(x=Butzbach$timestamp)) + geom_line(aes(y=Butzbach$sr)) + geom_line(aes(y=Butzbach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Butzbach 2023", x = "Datum", y = "Zeit")
pdf("Butzbach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Butzbach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Butzbach["Sonnenaufgang"] <- strftime(Butzbach$sr, format="%H:%M")
Butzbach["Sonnenuntergang"] <- strftime(Butzbach$ss, format="%H:%M")
write.table(Butzbach, file="Butzbach_SaSu.csv", dec=',', sep=';', row.names=FALSE)