library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
20257 <- sunrise.set(53.5752721,9.945691, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 20257$sunrise
sunset <- 20257$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
20257["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
20257["ss"] <- as.POSIXct(sunset, format = "%H:%M")
20257["timestamp"] <- align.time(20257$sunrise, 60*10)
20257 <- 20257[c("timestamp", "sr", "ss")]
locsrss <- ggplot(20257, aes(x=20257$timestamp)) + geom_line(aes(y=20257$sr)) + geom_line(aes(y=20257$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 20257 2021", x = "Datum", y = "Zeit")
pdf("20257_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="20257_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
20257["Sonnenaufgang"] <- strftime(20257$sr, format="%H:%M")
20257["Sonnenuntergang"] <- strftime(20257$ss, format="%H:%M")
write.table(20257, file="20257_SaSu.csv", dec=',', sep=';', row.names=FALSE)