library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
47803_Krefeld <- sunrise.set(51.34801220000001,6.5478529, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 47803_Krefeld$sunrise
sunset <- 47803_Krefeld$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
47803_Krefeld["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
47803_Krefeld["ss"] <- as.POSIXct(sunset, format = "%H:%M")
47803_Krefeld["timestamp"] <- align.time(47803_Krefeld$sunrise, 60*10)
47803_Krefeld <- 47803_Krefeld[c("timestamp", "sr", "ss")]
locsrss <- ggplot(47803_Krefeld, aes(x=47803_Krefeld$timestamp)) + geom_line(aes(y=47803_Krefeld$sr)) + geom_line(aes(y=47803_Krefeld$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 47803_Krefeld 2023", x = "Datum", y = "Zeit")
pdf("47803_Krefeld_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="47803_Krefeld_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
47803_Krefeld["Sonnenaufgang"] <- strftime(47803_Krefeld$sr, format="%H:%M")
47803_Krefeld["Sonnenuntergang"] <- strftime(47803_Krefeld$ss, format="%H:%M")
write.table(47803_Krefeld, file="47803_Krefeld_SaSu.csv", dec=',', sep=';', row.names=FALSE)