library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Frankfurt_am_Main <- sunrise.set(50.1109221,8.682126700000026, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Frankfurt_am_Main$sunrise
sunset <- Frankfurt_am_Main$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Frankfurt_am_Main["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Frankfurt_am_Main["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Frankfurt_am_Main["timestamp"] <- align.time(Frankfurt_am_Main$sunrise, 60*10)
Frankfurt_am_Main <- Frankfurt_am_Main[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Frankfurt_am_Main, aes(x=Frankfurt_am_Main$timestamp)) + geom_line(aes(y=Frankfurt_am_Main$sr)) + geom_line(aes(y=Frankfurt_am_Main$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Frankfurt_am_Main 2023", x = "Datum", y = "Zeit")
pdf("Frankfurt_am_Main_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Frankfurt_am_Main_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Frankfurt_am_Main["Sonnenaufgang"] <- strftime(Frankfurt_am_Main$sr, format="%H:%M")
Frankfurt_am_Main["Sonnenuntergang"] <- strftime(Frankfurt_am_Main$ss, format="%H:%M")
write.table(Frankfurt_am_Main, file="Frankfurt_am_Main_SaSu.csv", dec=',', sep=';', row.names=FALSE)