library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
72555_Metzingen <- sunrise.set(48.5398997,9.2864061, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 72555_Metzingen$sunrise
sunset <- 72555_Metzingen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
72555_Metzingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
72555_Metzingen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
72555_Metzingen["timestamp"] <- align.time(72555_Metzingen$sunrise, 60*10)
72555_Metzingen <- 72555_Metzingen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(72555_Metzingen, aes(x=72555_Metzingen$timestamp)) + geom_line(aes(y=72555_Metzingen$sr)) + geom_line(aes(y=72555_Metzingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 72555_Metzingen 2024", x = "Datum", y = "Zeit")
pdf("72555_Metzingen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="72555_Metzingen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
72555_Metzingen["Sonnenaufgang"] <- strftime(72555_Metzingen$sr, format="%H:%M")
72555_Metzingen["Sonnenuntergang"] <- strftime(72555_Metzingen$ss, format="%H:%M")
write.table(72555_Metzingen, file="72555_Metzingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)