library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
21039 <- sunrise.set(53.4571328,10.2819319, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 21039$sunrise
sunset <- 21039$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
21039["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
21039["ss"] <- as.POSIXct(sunset, format = "%H:%M")
21039["timestamp"] <- align.time(21039$sunrise, 60*10)
21039 <- 21039[c("timestamp", "sr", "ss")]
locsrss <- ggplot(21039, aes(x=21039$timestamp)) + geom_line(aes(y=21039$sr)) + geom_line(aes(y=21039$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 21039 2024", x = "Datum", y = "Zeit")
pdf("21039_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="21039_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
21039["Sonnenaufgang"] <- strftime(21039$sr, format="%H:%M")
21039["Sonnenuntergang"] <- strftime(21039$ss, format="%H:%M")
write.table(21039, file="21039_SaSu.csv", dec=',', sep=';', row.names=FALSE)