library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
22359_Hamburg <- sunrise.set(53.667397674178595,10.15034957872922, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 22359_Hamburg$sunrise
sunset <- 22359_Hamburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
22359_Hamburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
22359_Hamburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
22359_Hamburg["timestamp"] <- align.time(22359_Hamburg$sunrise, 60*10)
22359_Hamburg <- 22359_Hamburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(22359_Hamburg, aes(x=22359_Hamburg$timestamp)) + geom_line(aes(y=22359_Hamburg$sr)) + geom_line(aes(y=22359_Hamburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 22359_Hamburg 2024", x = "Datum", y = "Zeit")
pdf("22359_Hamburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="22359_Hamburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
22359_Hamburg["Sonnenaufgang"] <- strftime(22359_Hamburg$sr, format="%H:%M")
22359_Hamburg["Sonnenuntergang"] <- strftime(22359_Hamburg$ss, format="%H:%M")
write.table(22359_Hamburg, file="22359_Hamburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)