library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Cretzschwitz <- sunrise.set(50.9375264,12.122617799999944, "2022/01/01", timezone="MET", num.days=370)
sunrise <- Cretzschwitz$sunrise
sunset <- Cretzschwitz$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Cretzschwitz["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Cretzschwitz["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Cretzschwitz["timestamp"] <- align.time(Cretzschwitz$sunrise, 60*10)
Cretzschwitz <- Cretzschwitz[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Cretzschwitz, aes(x=Cretzschwitz$timestamp)) + geom_line(aes(y=Cretzschwitz$sr)) + geom_line(aes(y=Cretzschwitz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Cretzschwitz 2022", x = "Datum", y = "Zeit")
pdf("Cretzschwitz_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Cretzschwitz_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Cretzschwitz["Sonnenaufgang"] <- strftime(Cretzschwitz$sr, format="%H:%M")
Cretzschwitz["Sonnenuntergang"] <- strftime(Cretzschwitz$ss, format="%H:%M")
write.table(Cretzschwitz, file="Cretzschwitz_SaSu.csv", dec=',', sep=';', row.names=FALSE)