library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
DE_Blaichach <- sunrise.set(47.5424048,10.2567893, "2024/01/01", timezone="MET", num.days=370)
sunrise <- DE_Blaichach$sunrise
sunset <- DE_Blaichach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
DE_Blaichach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
DE_Blaichach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
DE_Blaichach["timestamp"] <- align.time(DE_Blaichach$sunrise, 60*10)
DE_Blaichach <- DE_Blaichach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(DE_Blaichach, aes(x=DE_Blaichach$timestamp)) + geom_line(aes(y=DE_Blaichach$sr)) + geom_line(aes(y=DE_Blaichach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - DE_Blaichach 2024", x = "Datum", y = "Zeit")
pdf("DE_Blaichach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="DE_Blaichach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
DE_Blaichach["Sonnenaufgang"] <- strftime(DE_Blaichach$sr, format="%H:%M")
DE_Blaichach["Sonnenuntergang"] <- strftime(DE_Blaichach$ss, format="%H:%M")
write.table(DE_Blaichach, file="DE_Blaichach_SaSu.csv", dec=',', sep=';', row.names=FALSE)