library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
53111 <- sunrise.set(50.741551,7.101499, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 53111$sunrise
sunset <- 53111$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
53111["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
53111["ss"] <- as.POSIXct(sunset, format = "%H:%M")
53111["timestamp"] <- align.time(53111$sunrise, 60*10)
53111 <- 53111[c("timestamp", "sr", "ss")]
locsrss <- ggplot(53111, aes(x=53111$timestamp)) + geom_line(aes(y=53111$sr)) + geom_line(aes(y=53111$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 53111 2025", x = "Datum", y = "Zeit")
pdf("53111_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="53111_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
53111["Sonnenaufgang"] <- strftime(53111$sr, format="%H:%M")
53111["Sonnenuntergang"] <- strftime(53111$ss, format="%H:%M")
write.table(53111, file="53111_SaSu.csv", dec=',', sep=';', row.names=FALSE)