library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
28816 <- sunrise.set(53.0063839,8.717835100000002, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 28816$sunrise
sunset <- 28816$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
28816["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
28816["ss"] <- as.POSIXct(sunset, format = "%H:%M")
28816["timestamp"] <- align.time(28816$sunrise, 60*10)
28816 <- 28816[c("timestamp", "sr", "ss")]
locsrss <- ggplot(28816, aes(x=28816$timestamp)) + geom_line(aes(y=28816$sr)) + geom_line(aes(y=28816$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 28816 2024", x = "Datum", y = "Zeit")
pdf("28816_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="28816_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
28816["Sonnenaufgang"] <- strftime(28816$sr, format="%H:%M")
28816["Sonnenuntergang"] <- strftime(28816$ss, format="%H:%M")
write.table(28816, file="28816_SaSu.csv", dec=',', sep=';', row.names=FALSE)