library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
36448 <- sunrise.set(50.833376,10.369595600000025, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 36448$sunrise
sunset <- 36448$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
36448["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
36448["ss"] <- as.POSIXct(sunset, format = "%H:%M")
36448["timestamp"] <- align.time(36448$sunrise, 60*10)
36448 <- 36448[c("timestamp", "sr", "ss")]
locsrss <- ggplot(36448, aes(x=36448$timestamp)) + geom_line(aes(y=36448$sr)) + geom_line(aes(y=36448$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 36448 2024", x = "Datum", y = "Zeit")
pdf("36448_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="36448_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
36448["Sonnenaufgang"] <- strftime(36448$sr, format="%H:%M")
36448["Sonnenuntergang"] <- strftime(36448$ss, format="%H:%M")
write.table(36448, file="36448_SaSu.csv", dec=',', sep=';', row.names=FALSE)