library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
31675 <- sunrise.set(52.281639,9.0440611, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 31675$sunrise
sunset <- 31675$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
31675["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
31675["ss"] <- as.POSIXct(sunset, format = "%H:%M")
31675["timestamp"] <- align.time(31675$sunrise, 60*10)
31675 <- 31675[c("timestamp", "sr", "ss")]
locsrss <- ggplot(31675, aes(x=31675$timestamp)) + geom_line(aes(y=31675$sr)) + geom_line(aes(y=31675$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 31675 2024", x = "Datum", y = "Zeit")
pdf("31675_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="31675_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
31675["Sonnenaufgang"] <- strftime(31675$sr, format="%H:%M")
31675["Sonnenuntergang"] <- strftime(31675$ss, format="%H:%M")
write.table(31675, file="31675_SaSu.csv", dec=',', sep=';', row.names=FALSE)