library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
84375_Kirchdorf <- sunrise.set(48.247214,12.984831600000006, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 84375_Kirchdorf$sunrise
sunset <- 84375_Kirchdorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
84375_Kirchdorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
84375_Kirchdorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
84375_Kirchdorf["timestamp"] <- align.time(84375_Kirchdorf$sunrise, 60*10)
84375_Kirchdorf <- 84375_Kirchdorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(84375_Kirchdorf, aes(x=84375_Kirchdorf$timestamp)) + geom_line(aes(y=84375_Kirchdorf$sr)) + geom_line(aes(y=84375_Kirchdorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 84375_Kirchdorf 2024", x = "Datum", y = "Zeit")
pdf("84375_Kirchdorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="84375_Kirchdorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
84375_Kirchdorf["Sonnenaufgang"] <- strftime(84375_Kirchdorf$sr, format="%H:%M")
84375_Kirchdorf["Sonnenuntergang"] <- strftime(84375_Kirchdorf$ss, format="%H:%M")
write.table(84375_Kirchdorf, file="84375_Kirchdorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)