library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
27404_zeven <- sunrise.set(53.2939692,9.27594769999996, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 27404_zeven$sunrise
sunset <- 27404_zeven$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
27404_zeven["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
27404_zeven["ss"] <- as.POSIXct(sunset, format = "%H:%M")
27404_zeven["timestamp"] <- align.time(27404_zeven$sunrise, 60*10)
27404_zeven <- 27404_zeven[c("timestamp", "sr", "ss")]
locsrss <- ggplot(27404_zeven, aes(x=27404_zeven$timestamp)) + geom_line(aes(y=27404_zeven$sr)) + geom_line(aes(y=27404_zeven$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 27404_zeven 2023", x = "Datum", y = "Zeit")
pdf("27404_zeven_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="27404_zeven_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
27404_zeven["Sonnenaufgang"] <- strftime(27404_zeven$sr, format="%H:%M")
27404_zeven["Sonnenuntergang"] <- strftime(27404_zeven$ss, format="%H:%M")
write.table(27404_zeven, file="27404_zeven_SaSu.csv", dec=',', sep=';', row.names=FALSE)