library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
94104_Tittling <- sunrise.set(48.7260112,13.3801739, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 94104_Tittling$sunrise
sunset <- 94104_Tittling$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
94104_Tittling["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
94104_Tittling["ss"] <- as.POSIXct(sunset, format = "%H:%M")
94104_Tittling["timestamp"] <- align.time(94104_Tittling$sunrise, 60*10)
94104_Tittling <- 94104_Tittling[c("timestamp", "sr", "ss")]
locsrss <- ggplot(94104_Tittling, aes(x=94104_Tittling$timestamp)) + geom_line(aes(y=94104_Tittling$sr)) + geom_line(aes(y=94104_Tittling$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 94104_Tittling 2024", x = "Datum", y = "Zeit")
pdf("94104_Tittling_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="94104_Tittling_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
94104_Tittling["Sonnenaufgang"] <- strftime(94104_Tittling$sr, format="%H:%M")
94104_Tittling["Sonnenuntergang"] <- strftime(94104_Tittling$ss, format="%H:%M")
write.table(94104_Tittling, file="94104_Tittling_SaSu.csv", dec=',', sep=';', row.names=FALSE)