library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
DE_Münster_ <- sunrise.set(51.9606649,7.6261347, "2025/01/01", timezone="MET", num.days=370)
sunrise <- DE_Münster_$sunrise
sunset <- DE_Münster_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
DE_Münster_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
DE_Münster_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
DE_Münster_["timestamp"] <- align.time(DE_Münster_$sunrise, 60*10)
DE_Münster_ <- DE_Münster_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(DE_Münster_, aes(x=DE_Münster_$timestamp)) + geom_line(aes(y=DE_Münster_$sr)) + geom_line(aes(y=DE_Münster_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - DE_Münster_ 2025", x = "Datum", y = "Zeit")
pdf("DE_Münster__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="DE_Münster__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
DE_Münster_["Sonnenaufgang"] <- strftime(DE_Münster_$sr, format="%H:%M")
DE_Münster_["Sonnenuntergang"] <- strftime(DE_Münster_$ss, format="%H:%M")
write.table(DE_Münster_, file="DE_Münster__SaSu.csv", dec=',', sep=';', row.names=FALSE)