library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dallgow_Döberitz <- sunrise.set(52.536443,13.050809, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Dallgow_Döberitz$sunrise
sunset <- Dallgow_Döberitz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dallgow_Döberitz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dallgow_Döberitz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dallgow_Döberitz["timestamp"] <- align.time(Dallgow_Döberitz$sunrise, 60*10)
Dallgow_Döberitz <- Dallgow_Döberitz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dallgow_Döberitz, aes(x=Dallgow_Döberitz$timestamp)) + geom_line(aes(y=Dallgow_Döberitz$sr)) + geom_line(aes(y=Dallgow_Döberitz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dallgow_Döberitz 2024", x = "Datum", y = "Zeit")
pdf("Dallgow_Döberitz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dallgow_Döberitz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dallgow_Döberitz["Sonnenaufgang"] <- strftime(Dallgow_Döberitz$sr, format="%H:%M")
Dallgow_Döberitz["Sonnenuntergang"] <- strftime(Dallgow_Döberitz$ss, format="%H:%M")
write.table(Dallgow_Döberitz, file="Dallgow_Döberitz_SaSu.csv", dec=',', sep=';', row.names=FALSE)