library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
DE_Koblenz <- sunrise.set(50.356718,7.599485, "2025/01/01", timezone="MET", num.days=370)
sunrise <- DE_Koblenz$sunrise
sunset <- DE_Koblenz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
DE_Koblenz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
DE_Koblenz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
DE_Koblenz["timestamp"] <- align.time(DE_Koblenz$sunrise, 60*10)
DE_Koblenz <- DE_Koblenz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(DE_Koblenz, aes(x=DE_Koblenz$timestamp)) + geom_line(aes(y=DE_Koblenz$sr)) + geom_line(aes(y=DE_Koblenz$ss)) + labs(title = " Sunrise/Sunset - DE_Koblenz 2025", x = "Date", y = "Time")
pdf("DE_Koblenz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="DE_Koblenz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
DE_Koblenz["Sunrise"] <- strftime(DE_Koblenz$sr, format="%H:%M")
DE_Koblenz["Sunset"] <- strftime(DE_Koblenz$ss, format="%H:%M")
write.table(DE_Koblenz, file="DE_Koblenz_SaSu.csv", dec=',', sep=';', row.names=FALSE)