library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
52379 <- sunrise.set(50.8070027,6.3766007, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 52379$sunrise
sunset <- 52379$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
52379["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
52379["ss"] <- as.POSIXct(sunset, format = "%H:%M")
52379["timestamp"] <- align.time(52379$sunrise, 60*10)
52379 <- 52379[c("timestamp", "sr", "ss")]
locsrss <- ggplot(52379, aes(x=52379$timestamp)) + geom_line(aes(y=52379$sr)) + geom_line(aes(y=52379$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 52379 2024", x = "Datum", y = "Zeit")
pdf("52379_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="52379_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
52379["Sonnenaufgang"] <- strftime(52379$sr, format="%H:%M")
52379["Sonnenuntergang"] <- strftime(52379$ss, format="%H:%M")
write.table(52379, file="52379_SaSu.csv", dec=',', sep=';', row.names=FALSE)