library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bederkesa <- sunrise.set(53.6241369,8.834395099999938, "2025/01/01", timezone="MET", num.days=370)
sunrise <- Bederkesa$sunrise
sunset <- Bederkesa$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bederkesa["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bederkesa["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bederkesa["timestamp"] <- align.time(Bederkesa$sunrise, 60*10)
Bederkesa <- Bederkesa[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bederkesa, aes(x=Bederkesa$timestamp)) + geom_line(aes(y=Bederkesa$sr)) + geom_line(aes(y=Bederkesa$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bederkesa 2025", x = "Datum", y = "Zeit")
pdf("Bederkesa_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bederkesa_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bederkesa["Sonnenaufgang"] <- strftime(Bederkesa$sr, format="%H:%M")
Bederkesa["Sonnenuntergang"] <- strftime(Bederkesa$ss, format="%H:%M")
write.table(Bederkesa, file="Bederkesa_SaSu.csv", dec=',', sep=';', row.names=FALSE)