library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Emsing <- sunrise.set(49.000830365223656,11.262788772583008, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Emsing$sunrise
sunset <- Emsing$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Emsing["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Emsing["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Emsing["timestamp"] <- align.time(Emsing$sunrise, 60*10)
Emsing <- Emsing[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Emsing, aes(x=Emsing$timestamp)) + geom_line(aes(y=Emsing$sr)) + geom_line(aes(y=Emsing$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Emsing 2024", x = "Datum", y = "Zeit")
pdf("Emsing_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Emsing_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Emsing["Sonnenaufgang"] <- strftime(Emsing$sr, format="%H:%M")
Emsing["Sonnenuntergang"] <- strftime(Emsing$ss, format="%H:%M")
write.table(Emsing, file="Emsing_SaSu.csv", dec=',', sep=';', row.names=FALSE)