library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
20357 <- sunrise.set(53.564431,9.969049600000062, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 20357$sunrise
sunset <- 20357$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
20357["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
20357["ss"] <- as.POSIXct(sunset, format = "%H:%M")
20357["timestamp"] <- align.time(20357$sunrise, 60*10)
20357 <- 20357[c("timestamp", "sr", "ss")]
locsrss <- ggplot(20357, aes(x=20357$timestamp)) + geom_line(aes(y=20357$sr)) + geom_line(aes(y=20357$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 20357 2024", x = "Datum", y = "Zeit")
pdf("20357_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="20357_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
20357["Sonnenaufgang"] <- strftime(20357$sr, format="%H:%M")
20357["Sonnenuntergang"] <- strftime(20357$ss, format="%H:%M")
write.table(20357, file="20357_SaSu.csv", dec=',', sep=';', row.names=FALSE)