library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
57074_Siegen <- sunrise.set(50.8749296,8.0633292, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 57074_Siegen$sunrise
sunset <- 57074_Siegen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
57074_Siegen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
57074_Siegen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
57074_Siegen["timestamp"] <- align.time(57074_Siegen$sunrise, 60*10)
57074_Siegen <- 57074_Siegen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(57074_Siegen, aes(x=57074_Siegen$timestamp)) + geom_line(aes(y=57074_Siegen$sr)) + geom_line(aes(y=57074_Siegen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 57074_Siegen 2024", x = "Datum", y = "Zeit")
pdf("57074_Siegen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="57074_Siegen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
57074_Siegen["Sonnenaufgang"] <- strftime(57074_Siegen$sr, format="%H:%M")
57074_Siegen["Sonnenuntergang"] <- strftime(57074_Siegen$ss, format="%H:%M")
write.table(57074_Siegen, file="57074_Siegen_SaSu.csv", dec=',', sep=';', row.names=FALSE)