library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
56154_Boppard_Amselweg_11 <- sunrise.set(50.2107,7.611130000000003, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 56154_Boppard_Amselweg_11$sunrise
sunset <- 56154_Boppard_Amselweg_11$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
56154_Boppard_Amselweg_11["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
56154_Boppard_Amselweg_11["ss"] <- as.POSIXct(sunset, format = "%H:%M")
56154_Boppard_Amselweg_11["timestamp"] <- align.time(56154_Boppard_Amselweg_11$sunrise, 60*10)
56154_Boppard_Amselweg_11 <- 56154_Boppard_Amselweg_11[c("timestamp", "sr", "ss")]
locsrss <- ggplot(56154_Boppard_Amselweg_11, aes(x=56154_Boppard_Amselweg_11$timestamp)) + geom_line(aes(y=56154_Boppard_Amselweg_11$sr)) + geom_line(aes(y=56154_Boppard_Amselweg_11$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 56154_Boppard_Amselweg_11 2023", x = "Datum", y = "Zeit")
pdf("56154_Boppard_Amselweg_11_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="56154_Boppard_Amselweg_11_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
56154_Boppard_Amselweg_11["Sonnenaufgang"] <- strftime(56154_Boppard_Amselweg_11$sr, format="%H:%M")
56154_Boppard_Amselweg_11["Sonnenuntergang"] <- strftime(56154_Boppard_Amselweg_11$ss, format="%H:%M")
write.table(56154_Boppard_Amselweg_11, file="56154_Boppard_Amselweg_11_SaSu.csv", dec=',', sep=';', row.names=FALSE)