library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Casekow <- sunrise.set(53.20670084219607,14.151420593261719, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Casekow$sunrise
sunset <- Casekow$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Casekow["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Casekow["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Casekow["timestamp"] <- align.time(Casekow$sunrise, 60*10)
Casekow <- Casekow[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Casekow, aes(x=Casekow$timestamp)) + geom_line(aes(y=Casekow$sr)) + geom_line(aes(y=Casekow$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Casekow 2021", x = "Datum", y = "Zeit")
pdf("Casekow_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Casekow_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Casekow["Sonnenaufgang"] <- strftime(Casekow$sr, format="%H:%M")
Casekow["Sonnenuntergang"] <- strftime(Casekow$ss, format="%H:%M")
write.table(Casekow, file="Casekow_SaSu.csv", dec=',', sep=';', row.names=FALSE)