library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Kaltenkirchen <- sunrise.set(51.96,7.62, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Kaltenkirchen$sunrise
sunset <- Kaltenkirchen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Kaltenkirchen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Kaltenkirchen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Kaltenkirchen["timestamp"] <- align.time(Kaltenkirchen$sunrise, 60*10)
Kaltenkirchen <- Kaltenkirchen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Kaltenkirchen, aes(x=Kaltenkirchen$timestamp)) + geom_line(aes(y=Kaltenkirchen$sr)) + geom_line(aes(y=Kaltenkirchen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Kaltenkirchen 2021", x = "Datum", y = "Zeit")
pdf("Kaltenkirchen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Kaltenkirchen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Kaltenkirchen["Sonnenaufgang"] <- strftime(Kaltenkirchen$sr, format="%H:%M")
Kaltenkirchen["Sonnenuntergang"] <- strftime(Kaltenkirchen$ss, format="%H:%M")
write.table(Kaltenkirchen, file="Kaltenkirchen_SaSu.csv", dec=',', sep=';', row.names=FALSE)