library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
25938_Wyk <- sunrise.set(54.6884606,8.55640429999994, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 25938_Wyk$sunrise
sunset <- 25938_Wyk$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
25938_Wyk["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
25938_Wyk["ss"] <- as.POSIXct(sunset, format = "%H:%M")
25938_Wyk["timestamp"] <- align.time(25938_Wyk$sunrise, 60*10)
25938_Wyk <- 25938_Wyk[c("timestamp", "sr", "ss")]
locsrss <- ggplot(25938_Wyk, aes(x=25938_Wyk$timestamp)) + geom_line(aes(y=25938_Wyk$sr)) + geom_line(aes(y=25938_Wyk$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 25938_Wyk 2024", x = "Datum", y = "Zeit")
pdf("25938_Wyk_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="25938_Wyk_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
25938_Wyk["Sonnenaufgang"] <- strftime(25938_Wyk$sr, format="%H:%M")
25938_Wyk["Sonnenuntergang"] <- strftime(25938_Wyk$ss, format="%H:%M")
write.table(25938_Wyk, file="25938_Wyk_SaSu.csv", dec=',', sep=';', row.names=FALSE)