library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
13503 <- sunrise.set(52.6106246,13.2417857, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 13503$sunrise
sunset <- 13503$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
13503["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
13503["ss"] <- as.POSIXct(sunset, format = "%H:%M")
13503["timestamp"] <- align.time(13503$sunrise, 60*10)
13503 <- 13503[c("timestamp", "sr", "ss")]
locsrss <- ggplot(13503, aes(x=13503$timestamp)) + geom_line(aes(y=13503$sr)) + geom_line(aes(y=13503$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 13503 2024", x = "Datum", y = "Zeit")
pdf("13503_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="13503_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
13503["Sonnenaufgang"] <- strftime(13503$sr, format="%H:%M")
13503["Sonnenuntergang"] <- strftime(13503$ss, format="%H:%M")
write.table(13503, file="13503_SaSu.csv", dec=',', sep=';', row.names=FALSE)