library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Ebersberg <- sunrise.set(48.07521161531141,11.96284532546997, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Ebersberg$sunrise
sunset <- Ebersberg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Ebersberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Ebersberg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Ebersberg["timestamp"] <- align.time(Ebersberg$sunrise, 60*10)
Ebersberg <- Ebersberg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Ebersberg, aes(x=Ebersberg$timestamp)) + geom_line(aes(y=Ebersberg$sr)) + geom_line(aes(y=Ebersberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Ebersberg 2024", x = "Datum", y = "Zeit")
pdf("Ebersberg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Ebersberg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Ebersberg["Sonnenaufgang"] <- strftime(Ebersberg$sr, format="%H:%M")
Ebersberg["Sonnenuntergang"] <- strftime(Ebersberg$ss, format="%H:%M")
write.table(Ebersberg, file="Ebersberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)