library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
De06268 <- sunrise.set(51.378840361163796,11.600246097497555, "2024/01/01", timezone="MET", num.days=370)
sunrise <- De06268$sunrise
sunset <- De06268$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
De06268["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
De06268["ss"] <- as.POSIXct(sunset, format = "%H:%M")
De06268["timestamp"] <- align.time(De06268$sunrise, 60*10)
De06268 <- De06268[c("timestamp", "sr", "ss")]
locsrss <- ggplot(De06268, aes(x=De06268$timestamp)) + geom_line(aes(y=De06268$sr)) + geom_line(aes(y=De06268$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - De06268 2024", x = "Datum", y = "Zeit")
pdf("De06268_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="De06268_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
De06268["Sonnenaufgang"] <- strftime(De06268$sr, format="%H:%M")
De06268["Sonnenuntergang"] <- strftime(De06268$ss, format="%H:%M")
write.table(De06268, file="De06268_SaSu.csv", dec=',', sep=';', row.names=FALSE)