library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
16837_Flecken_Zechlin <- sunrise.set(53.15989553671956,12.763186623872798, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 16837_Flecken_Zechlin$sunrise
sunset <- 16837_Flecken_Zechlin$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
16837_Flecken_Zechlin["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
16837_Flecken_Zechlin["ss"] <- as.POSIXct(sunset, format = "%H:%M")
16837_Flecken_Zechlin["timestamp"] <- align.time(16837_Flecken_Zechlin$sunrise, 60*10)
16837_Flecken_Zechlin <- 16837_Flecken_Zechlin[c("timestamp", "sr", "ss")]
locsrss <- ggplot(16837_Flecken_Zechlin, aes(x=16837_Flecken_Zechlin$timestamp)) + geom_line(aes(y=16837_Flecken_Zechlin$sr)) + geom_line(aes(y=16837_Flecken_Zechlin$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 16837_Flecken_Zechlin 2023", x = "Datum", y = "Zeit")
pdf("16837_Flecken_Zechlin_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="16837_Flecken_Zechlin_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
16837_Flecken_Zechlin["Sonnenaufgang"] <- strftime(16837_Flecken_Zechlin$sr, format="%H:%M")
16837_Flecken_Zechlin["Sonnenuntergang"] <- strftime(16837_Flecken_Zechlin$ss, format="%H:%M")
write.table(16837_Flecken_Zechlin, file="16837_Flecken_Zechlin_SaSu.csv", dec=',', sep=';', row.names=FALSE)