library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Consrade <- sunrise.set(53.5743041,11.4753117, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Consrade$sunrise
sunset <- Consrade$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Consrade["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Consrade["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Consrade["timestamp"] <- align.time(Consrade$sunrise, 60*10)
Consrade <- Consrade[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Consrade, aes(x=Consrade$timestamp)) + geom_line(aes(y=Consrade$sr)) + geom_line(aes(y=Consrade$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Consrade 2024", x = "Datum", y = "Zeit")
pdf("Consrade_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Consrade_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Consrade["Sonnenaufgang"] <- strftime(Consrade$sr, format="%H:%M")
Consrade["Sonnenuntergang"] <- strftime(Consrade$ss, format="%H:%M")
write.table(Consrade, file="Consrade_SaSu.csv", dec=',', sep=';', row.names=FALSE)