library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Halberstadt <- sunrise.set(51.89487090000001,11.049615899999935, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Halberstadt$sunrise
sunset <- Halberstadt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Halberstadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Halberstadt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Halberstadt["timestamp"] <- align.time(Halberstadt$sunrise, 60*10)
Halberstadt <- Halberstadt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Halberstadt, aes(x=Halberstadt$timestamp)) + geom_line(aes(y=Halberstadt$sr)) + geom_line(aes(y=Halberstadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Halberstadt 2024", x = "Datum", y = "Zeit")
pdf("Halberstadt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Halberstadt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Halberstadt["Sonnenaufgang"] <- strftime(Halberstadt$sr, format="%H:%M")
Halberstadt["Sonnenuntergang"] <- strftime(Halberstadt$ss, format="%H:%M")
write.table(Halberstadt, file="Halberstadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)