library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
53797_Lohmar <- sunrise.set(50.8378015,7.212664899999936, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 53797_Lohmar$sunrise
sunset <- 53797_Lohmar$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
53797_Lohmar["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
53797_Lohmar["ss"] <- as.POSIXct(sunset, format = "%H:%M")
53797_Lohmar["timestamp"] <- align.time(53797_Lohmar$sunrise, 60*10)
53797_Lohmar <- 53797_Lohmar[c("timestamp", "sr", "ss")]
locsrss <- ggplot(53797_Lohmar, aes(x=53797_Lohmar$timestamp)) + geom_line(aes(y=53797_Lohmar$sr)) + geom_line(aes(y=53797_Lohmar$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 53797_Lohmar 2024", x = "Datum", y = "Zeit")
pdf("53797_Lohmar_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="53797_Lohmar_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
53797_Lohmar["Sonnenaufgang"] <- strftime(53797_Lohmar$sr, format="%H:%M")
53797_Lohmar["Sonnenuntergang"] <- strftime(53797_Lohmar$ss, format="%H:%M")
write.table(53797_Lohmar, file="53797_Lohmar_SaSu.csv", dec=',', sep=';', row.names=FALSE)