library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Gotha <- sunrise.set(50.9469188,10.7092884, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Gotha$sunrise
sunset <- Gotha$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Gotha["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Gotha["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Gotha["timestamp"] <- align.time(Gotha$sunrise, 60*10)
Gotha <- Gotha[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Gotha, aes(x=Gotha$timestamp)) + geom_line(aes(y=Gotha$sr)) + geom_line(aes(y=Gotha$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Gotha 2024", x = "Datum", y = "Zeit")
pdf("Gotha_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Gotha_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Gotha["Sonnenaufgang"] <- strftime(Gotha$sr, format="%H:%M")
Gotha["Sonnenuntergang"] <- strftime(Gotha$ss, format="%H:%M")
write.table(Gotha, file="Gotha_SaSu.csv", dec=',', sep=';', row.names=FALSE)