library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
6830_Rankweil <- sunrise.set(47.2621123,9.7229031, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 6830_Rankweil$sunrise
sunset <- 6830_Rankweil$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
6830_Rankweil["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
6830_Rankweil["ss"] <- as.POSIXct(sunset, format = "%H:%M")
6830_Rankweil["timestamp"] <- align.time(6830_Rankweil$sunrise, 60*10)
6830_Rankweil <- 6830_Rankweil[c("timestamp", "sr", "ss")]
locsrss <- ggplot(6830_Rankweil, aes(x=6830_Rankweil$timestamp)) + geom_line(aes(y=6830_Rankweil$sr)) + geom_line(aes(y=6830_Rankweil$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 6830_Rankweil 2024", x = "Datum", y = "Zeit")
pdf("6830_Rankweil_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="6830_Rankweil_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
6830_Rankweil["Sonnenaufgang"] <- strftime(6830_Rankweil$sr, format="%H:%M")
6830_Rankweil["Sonnenuntergang"] <- strftime(6830_Rankweil$ss, format="%H:%M")
write.table(6830_Rankweil, file="6830_Rankweil_SaSu.csv", dec=',', sep=';', row.names=FALSE)