library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
67251 <- sunrise.set(49.5121283,8.2128652, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 67251$sunrise
sunset <- 67251$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
67251["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
67251["ss"] <- as.POSIXct(sunset, format = "%H:%M")
67251["timestamp"] <- align.time(67251$sunrise, 60*10)
67251 <- 67251[c("timestamp", "sr", "ss")]
locsrss <- ggplot(67251, aes(x=67251$timestamp)) + geom_line(aes(y=67251$sr)) + geom_line(aes(y=67251$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 67251 2024", x = "Datum", y = "Zeit")
pdf("67251_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="67251_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
67251["Sonnenaufgang"] <- strftime(67251$sr, format="%H:%M")
67251["Sonnenuntergang"] <- strftime(67251$ss, format="%H:%M")
write.table(67251, file="67251_SaSu.csv", dec=',', sep=';', row.names=FALSE)