library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Drensteinfurt_ <- sunrise.set(51.7941523,7.7354791000000205, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Drensteinfurt_$sunrise
sunset <- Drensteinfurt_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Drensteinfurt_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Drensteinfurt_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Drensteinfurt_["timestamp"] <- align.time(Drensteinfurt_$sunrise, 60*10)
Drensteinfurt_ <- Drensteinfurt_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Drensteinfurt_, aes(x=Drensteinfurt_$timestamp)) + geom_line(aes(y=Drensteinfurt_$sr)) + geom_line(aes(y=Drensteinfurt_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Drensteinfurt_ 2024", x = "Datum", y = "Zeit")
pdf("Drensteinfurt__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Drensteinfurt__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Drensteinfurt_["Sonnenaufgang"] <- strftime(Drensteinfurt_$sr, format="%H:%M")
Drensteinfurt_["Sonnenuntergang"] <- strftime(Drensteinfurt_$ss, format="%H:%M")
write.table(Drensteinfurt_, file="Drensteinfurt__SaSu.csv", dec=',', sep=';', row.names=FALSE)