library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
17213_Malchow <- sunrise.set(53.4784568,12.42169, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 17213_Malchow$sunrise
sunset <- 17213_Malchow$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
17213_Malchow["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
17213_Malchow["ss"] <- as.POSIXct(sunset, format = "%H:%M")
17213_Malchow["timestamp"] <- align.time(17213_Malchow$sunrise, 60*10)
17213_Malchow <- 17213_Malchow[c("timestamp", "sr", "ss")]
locsrss <- ggplot(17213_Malchow, aes(x=17213_Malchow$timestamp)) + geom_line(aes(y=17213_Malchow$sr)) + geom_line(aes(y=17213_Malchow$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 17213_Malchow 2024", x = "Datum", y = "Zeit")
pdf("17213_Malchow_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="17213_Malchow_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
17213_Malchow["Sonnenaufgang"] <- strftime(17213_Malchow$sr, format="%H:%M")
17213_Malchow["Sonnenuntergang"] <- strftime(17213_Malchow$ss, format="%H:%M")
write.table(17213_Malchow, file="17213_Malchow_SaSu.csv", dec=',', sep=';', row.names=FALSE)