library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
52531 <- sunrise.set(50.9253588,6.117707399999972, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 52531$sunrise
sunset <- 52531$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
52531["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
52531["ss"] <- as.POSIXct(sunset, format = "%H:%M")
52531["timestamp"] <- align.time(52531$sunrise, 60*10)
52531 <- 52531[c("timestamp", "sr", "ss")]
locsrss <- ggplot(52531, aes(x=52531$timestamp)) + geom_line(aes(y=52531$sr)) + geom_line(aes(y=52531$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 52531 2021", x = "Datum", y = "Zeit")
pdf("52531_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="52531_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
52531["Sonnenaufgang"] <- strftime(52531$sr, format="%H:%M")
52531["Sonnenuntergang"] <- strftime(52531$ss, format="%H:%M")
write.table(52531, file="52531_SaSu.csv", dec=',', sep=';', row.names=FALSE)