library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Hohenpeißenberg <- sunrise.set(47.794669,11.002133, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Hohenpeißenberg$sunrise
sunset <- Hohenpeißenberg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Hohenpeißenberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Hohenpeißenberg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Hohenpeißenberg["timestamp"] <- align.time(Hohenpeißenberg$sunrise, 60*10)
Hohenpeißenberg <- Hohenpeißenberg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Hohenpeißenberg, aes(x=Hohenpeißenberg$timestamp)) + geom_line(aes(y=Hohenpeißenberg$sr)) + geom_line(aes(y=Hohenpeißenberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Hohenpeißenberg 2021", x = "Datum", y = "Zeit")
pdf("Hohenpeißenberg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Hohenpeißenberg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Hohenpeißenberg["Sonnenaufgang"] <- strftime(Hohenpeißenberg$sr, format="%H:%M")
Hohenpeißenberg["Sonnenuntergang"] <- strftime(Hohenpeißenberg$ss, format="%H:%M")
write.table(Hohenpeißenberg, file="Hohenpeißenberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)