library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
25451 <- sunrise.set(53.73231403315515,9.894733428955078, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 25451$sunrise
sunset <- 25451$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
25451["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
25451["ss"] <- as.POSIXct(sunset, format = "%H:%M")
25451["timestamp"] <- align.time(25451$sunrise, 60*10)
25451 <- 25451[c("timestamp", "sr", "ss")]
locsrss <- ggplot(25451, aes(x=25451$timestamp)) + geom_line(aes(y=25451$sr)) + geom_line(aes(y=25451$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 25451 2024", x = "Datum", y = "Zeit")
pdf("25451_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="25451_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
25451["Sonnenaufgang"] <- strftime(25451$sr, format="%H:%M")
25451["Sonnenuntergang"] <- strftime(25451$ss, format="%H:%M")
write.table(25451, file="25451_SaSu.csv", dec=',', sep=';', row.names=FALSE)