library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
99976_Lengenfeld_Unterm_Stein <- sunrise.set(51.2139313,10.222283000000061, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 99976_Lengenfeld_Unterm_Stein$sunrise
sunset <- 99976_Lengenfeld_Unterm_Stein$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
99976_Lengenfeld_Unterm_Stein["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
99976_Lengenfeld_Unterm_Stein["ss"] <- as.POSIXct(sunset, format = "%H:%M")
99976_Lengenfeld_Unterm_Stein["timestamp"] <- align.time(99976_Lengenfeld_Unterm_Stein$sunrise, 60*10)
99976_Lengenfeld_Unterm_Stein <- 99976_Lengenfeld_Unterm_Stein[c("timestamp", "sr", "ss")]
locsrss <- ggplot(99976_Lengenfeld_Unterm_Stein, aes(x=99976_Lengenfeld_Unterm_Stein$timestamp)) + geom_line(aes(y=99976_Lengenfeld_Unterm_Stein$sr)) + geom_line(aes(y=99976_Lengenfeld_Unterm_Stein$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 99976_Lengenfeld_Unterm_Stein 2024", x = "Datum", y = "Zeit")
pdf("99976_Lengenfeld_Unterm_Stein_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="99976_Lengenfeld_Unterm_Stein_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
99976_Lengenfeld_Unterm_Stein["Sonnenaufgang"] <- strftime(99976_Lengenfeld_Unterm_Stein$sr, format="%H:%M")
99976_Lengenfeld_Unterm_Stein["Sonnenuntergang"] <- strftime(99976_Lengenfeld_Unterm_Stein$ss, format="%H:%M")
write.table(99976_Lengenfeld_Unterm_Stein, file="99976_Lengenfeld_Unterm_Stein_SaSu.csv", dec=',', sep=';', row.names=FALSE)