library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Detmold <- sunrise.set(51.9384783,8.868638000000033, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Detmold$sunrise
sunset <- Detmold$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Detmold["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Detmold["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Detmold["timestamp"] <- align.time(Detmold$sunrise, 60*10)
Detmold <- Detmold[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Detmold, aes(x=Detmold$timestamp)) + geom_line(aes(y=Detmold$sr)) + geom_line(aes(y=Detmold$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Detmold 2023", x = "Datum", y = "Zeit")
pdf("Detmold_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Detmold_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Detmold["Sonnenaufgang"] <- strftime(Detmold$sr, format="%H:%M")
Detmold["Sonnenuntergang"] <- strftime(Detmold$ss, format="%H:%M")
write.table(Detmold, file="Detmold_SaSu.csv", dec=',', sep=';', row.names=FALSE)