library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
59939 <- sunrise.set(51.3099808,8.5253748, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 59939$sunrise
sunset <- 59939$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
59939["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
59939["ss"] <- as.POSIXct(sunset, format = "%H:%M")
59939["timestamp"] <- align.time(59939$sunrise, 60*10)
59939 <- 59939[c("timestamp", "sr", "ss")]
locsrss <- ggplot(59939, aes(x=59939$timestamp)) + geom_line(aes(y=59939$sr)) + geom_line(aes(y=59939$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 59939 2024", x = "Datum", y = "Zeit")
pdf("59939_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="59939_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
59939["Sonnenaufgang"] <- strftime(59939$sr, format="%H:%M")
59939["Sonnenuntergang"] <- strftime(59939$ss, format="%H:%M")
write.table(59939, file="59939_SaSu.csv", dec=',', sep=';', row.names=FALSE)