library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Blankenburg___Harz <- sunrise.set(51.8164261,10.977309099999957, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Blankenburg___Harz$sunrise
sunset <- Blankenburg___Harz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Blankenburg___Harz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Blankenburg___Harz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Blankenburg___Harz["timestamp"] <- align.time(Blankenburg___Harz$sunrise, 60*10)
Blankenburg___Harz <- Blankenburg___Harz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Blankenburg___Harz, aes(x=Blankenburg___Harz$timestamp)) + geom_line(aes(y=Blankenburg___Harz$sr)) + geom_line(aes(y=Blankenburg___Harz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Blankenburg___Harz 2024", x = "Datum", y = "Zeit")
pdf("Blankenburg___Harz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Blankenburg___Harz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Blankenburg___Harz["Sonnenaufgang"] <- strftime(Blankenburg___Harz$sr, format="%H:%M")
Blankenburg___Harz["Sonnenuntergang"] <- strftime(Blankenburg___Harz$ss, format="%H:%M")
write.table(Blankenburg___Harz, file="Blankenburg___Harz_SaSu.csv", dec=',', sep=';', row.names=FALSE)