library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
A_6932_Sulz <- sunrise.set(47.2874059,9.6509674, "2024/01/01", timezone="MET", num.days=370)
sunrise <- A_6932_Sulz$sunrise
sunset <- A_6932_Sulz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
A_6932_Sulz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
A_6932_Sulz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
A_6932_Sulz["timestamp"] <- align.time(A_6932_Sulz$sunrise, 60*10)
A_6932_Sulz <- A_6932_Sulz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(A_6932_Sulz, aes(x=A_6932_Sulz$timestamp)) + geom_line(aes(y=A_6932_Sulz$sr)) + geom_line(aes(y=A_6932_Sulz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - A_6932_Sulz 2024", x = "Datum", y = "Zeit")
pdf("A_6932_Sulz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="A_6932_Sulz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
A_6932_Sulz["Sonnenaufgang"] <- strftime(A_6932_Sulz$sr, format="%H:%M")
A_6932_Sulz["Sonnenuntergang"] <- strftime(A_6932_Sulz$ss, format="%H:%M")
write.table(A_6932_Sulz, file="A_6932_Sulz_SaSu.csv", dec=',', sep=';', row.names=FALSE)