library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
6300_Gråsten <- sunrise.set(54.929526,9.532694799999945, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 6300_Gråsten$sunrise
sunset <- 6300_Gråsten$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
6300_Gråsten["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
6300_Gråsten["ss"] <- as.POSIXct(sunset, format = "%H:%M")
6300_Gråsten["timestamp"] <- align.time(6300_Gråsten$sunrise, 60*10)
6300_Gråsten <- 6300_Gråsten[c("timestamp", "sr", "ss")]
locsrss <- ggplot(6300_Gråsten, aes(x=6300_Gråsten$timestamp)) + geom_line(aes(y=6300_Gråsten$sr)) + geom_line(aes(y=6300_Gråsten$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 6300_Gråsten 2024", x = "Datum", y = "Zeit")
pdf("6300_Gråsten_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="6300_Gråsten_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
6300_Gråsten["Sonnenaufgang"] <- strftime(6300_Gråsten$sr, format="%H:%M")
6300_Gråsten["Sonnenuntergang"] <- strftime(6300_Gråsten$ss, format="%H:%M")
write.table(6300_Gråsten, file="6300_Gråsten_SaSu.csv", dec=',', sep=';', row.names=FALSE)