library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
71384_Weinstadt <- sunrise.set(48.8105304,9.3868206, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 71384_Weinstadt$sunrise
sunset <- 71384_Weinstadt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
71384_Weinstadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
71384_Weinstadt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
71384_Weinstadt["timestamp"] <- align.time(71384_Weinstadt$sunrise, 60*10)
71384_Weinstadt <- 71384_Weinstadt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(71384_Weinstadt, aes(x=71384_Weinstadt$timestamp)) + geom_line(aes(y=71384_Weinstadt$sr)) + geom_line(aes(y=71384_Weinstadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 71384_Weinstadt 2025", x = "Datum", y = "Zeit")
pdf("71384_Weinstadt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="71384_Weinstadt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
71384_Weinstadt["Sonnenaufgang"] <- strftime(71384_Weinstadt$sr, format="%H:%M")
71384_Weinstadt["Sonnenuntergang"] <- strftime(71384_Weinstadt$ss, format="%H:%M")
write.table(71384_Weinstadt, file="71384_Weinstadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)