library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
84364_Schwaibach <- sunrise.set(48.4359185,13.0601441, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 84364_Schwaibach$sunrise
sunset <- 84364_Schwaibach$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
84364_Schwaibach["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
84364_Schwaibach["ss"] <- as.POSIXct(sunset, format = "%H:%M")
84364_Schwaibach["timestamp"] <- align.time(84364_Schwaibach$sunrise, 60*10)
84364_Schwaibach <- 84364_Schwaibach[c("timestamp", "sr", "ss")]
locsrss <- ggplot(84364_Schwaibach, aes(x=84364_Schwaibach$timestamp)) + geom_line(aes(y=84364_Schwaibach$sr)) + geom_line(aes(y=84364_Schwaibach$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 84364_Schwaibach 2024", x = "Datum", y = "Zeit")
pdf("84364_Schwaibach_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="84364_Schwaibach_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
84364_Schwaibach["Sonnenaufgang"] <- strftime(84364_Schwaibach$sr, format="%H:%M")
84364_Schwaibach["Sonnenuntergang"] <- strftime(84364_Schwaibach$ss, format="%H:%M")
write.table(84364_Schwaibach, file="84364_Schwaibach_SaSu.csv", dec=',', sep=';', row.names=FALSE)