library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bamberg <- sunrise.set(49.86766308466937,10.901508326181101, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bamberg$sunrise
sunset <- Bamberg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bamberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bamberg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bamberg["timestamp"] <- align.time(Bamberg$sunrise, 60*10)
Bamberg <- Bamberg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bamberg, aes(x=Bamberg$timestamp)) + geom_line(aes(y=Bamberg$sr)) + geom_line(aes(y=Bamberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bamberg 2024", x = "Datum", y = "Zeit")
pdf("Bamberg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bamberg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bamberg["Sonnenaufgang"] <- strftime(Bamberg$sr, format="%H:%M")
Bamberg["Sonnenuntergang"] <- strftime(Bamberg$ss, format="%H:%M")
write.table(Bamberg, file="Bamberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)