library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
61231 <- sunrise.set(50.3822571,8.7387728, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 61231$sunrise
sunset <- 61231$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
61231["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
61231["ss"] <- as.POSIXct(sunset, format = "%H:%M")
61231["timestamp"] <- align.time(61231$sunrise, 60*10)
61231 <- 61231[c("timestamp", "sr", "ss")]
locsrss <- ggplot(61231, aes(x=61231$timestamp)) + geom_line(aes(y=61231$sr)) + geom_line(aes(y=61231$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 61231 2024", x = "Datum", y = "Zeit")
pdf("61231_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="61231_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
61231["Sonnenaufgang"] <- strftime(61231$sr, format="%H:%M")
61231["Sonnenuntergang"] <- strftime(61231$ss, format="%H:%M")
write.table(61231, file="61231_SaSu.csv", dec=',', sep=';', row.names=FALSE)