library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Dettingen_Teck <- sunrise.set(48.62015,9.4516305, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Dettingen_Teck$sunrise
sunset <- Dettingen_Teck$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Dettingen_Teck["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Dettingen_Teck["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Dettingen_Teck["timestamp"] <- align.time(Dettingen_Teck$sunrise, 60*10)
Dettingen_Teck <- Dettingen_Teck[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Dettingen_Teck, aes(x=Dettingen_Teck$timestamp)) + geom_line(aes(y=Dettingen_Teck$sr)) + geom_line(aes(y=Dettingen_Teck$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dettingen_Teck 2021", x = "Datum", y = "Zeit")
pdf("Dettingen_Teck_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Dettingen_Teck_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Dettingen_Teck["Sonnenaufgang"] <- strftime(Dettingen_Teck$sr, format="%H:%M")
Dettingen_Teck["Sonnenuntergang"] <- strftime(Dettingen_Teck$ss, format="%H:%M")
write.table(Dettingen_Teck, file="Dettingen_Teck_SaSu.csv", dec=',', sep=';', row.names=FALSE)