library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
70569 <- sunrise.set(48.7483277,9.089917999999999, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 70569$sunrise
sunset <- 70569$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
70569["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
70569["ss"] <- as.POSIXct(sunset, format = "%H:%M")
70569["timestamp"] <- align.time(70569$sunrise, 60*10)
70569 <- 70569[c("timestamp", "sr", "ss")]
locsrss <- ggplot(70569, aes(x=70569$timestamp)) + geom_line(aes(y=70569$sr)) + geom_line(aes(y=70569$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 70569 2024", x = "Datum", y = "Zeit")
pdf("70569_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="70569_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
70569["Sonnenaufgang"] <- strftime(70569$sr, format="%H:%M")
70569["Sonnenuntergang"] <- strftime(70569$ss, format="%H:%M")
write.table(70569, file="70569_SaSu.csv", dec=',', sep=';', row.names=FALSE)