library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Cottbus <- sunrise.set(51.72633563011289,14.311581889257809, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Cottbus$sunrise
sunset <- Cottbus$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Cottbus["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Cottbus["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Cottbus["timestamp"] <- align.time(Cottbus$sunrise, 60*10)
Cottbus <- Cottbus[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Cottbus, aes(x=Cottbus$timestamp)) + geom_line(aes(y=Cottbus$sr)) + geom_line(aes(y=Cottbus$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Cottbus 2024", x = "Datum", y = "Zeit")
pdf("Cottbus_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Cottbus_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Cottbus["Sonnenaufgang"] <- strftime(Cottbus$sr, format="%H:%M")
Cottbus["Sonnenuntergang"] <- strftime(Cottbus$ss, format="%H:%M")
write.table(Cottbus, file="Cottbus_SaSu.csv", dec=',', sep=';', row.names=FALSE)