library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
47807_Krefeld <- sunrise.set(51.3042525,6.5772528, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 47807_Krefeld$sunrise
sunset <- 47807_Krefeld$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
47807_Krefeld["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
47807_Krefeld["ss"] <- as.POSIXct(sunset, format = "%H:%M")
47807_Krefeld["timestamp"] <- align.time(47807_Krefeld$sunrise, 60*10)
47807_Krefeld <- 47807_Krefeld[c("timestamp", "sr", "ss")]
locsrss <- ggplot(47807_Krefeld, aes(x=47807_Krefeld$timestamp)) + geom_line(aes(y=47807_Krefeld$sr)) + geom_line(aes(y=47807_Krefeld$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 47807_Krefeld 2023", x = "Datum", y = "Zeit")
pdf("47807_Krefeld_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="47807_Krefeld_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
47807_Krefeld["Sonnenaufgang"] <- strftime(47807_Krefeld$sr, format="%H:%M")
47807_Krefeld["Sonnenuntergang"] <- strftime(47807_Krefeld$ss, format="%H:%M")
write.table(47807_Krefeld, file="47807_Krefeld_SaSu.csv", dec=',', sep=';', row.names=FALSE)