library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
80336 <- sunrise.set(48.1340355,11.557173199999966, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 80336$sunrise
sunset <- 80336$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
80336["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
80336["ss"] <- as.POSIXct(sunset, format = "%H:%M")
80336["timestamp"] <- align.time(80336$sunrise, 60*10)
80336 <- 80336[c("timestamp", "sr", "ss")]
locsrss <- ggplot(80336, aes(x=80336$timestamp)) + geom_line(aes(y=80336$sr)) + geom_line(aes(y=80336$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 80336 2024", x = "Datum", y = "Zeit")
pdf("80336_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="80336_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
80336["Sonnenaufgang"] <- strftime(80336$sr, format="%H:%M")
80336["Sonnenuntergang"] <- strftime(80336$ss, format="%H:%M")
write.table(80336, file="80336_SaSu.csv", dec=',', sep=';', row.names=FALSE)