library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
61389_Schmitten <- sunrise.set(50.2696397,8.442289899999991, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 61389_Schmitten$sunrise
sunset <- 61389_Schmitten$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
61389_Schmitten["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
61389_Schmitten["ss"] <- as.POSIXct(sunset, format = "%H:%M")
61389_Schmitten["timestamp"] <- align.time(61389_Schmitten$sunrise, 60*10)
61389_Schmitten <- 61389_Schmitten[c("timestamp", "sr", "ss")]
locsrss <- ggplot(61389_Schmitten, aes(x=61389_Schmitten$timestamp)) + geom_line(aes(y=61389_Schmitten$sr)) + geom_line(aes(y=61389_Schmitten$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 61389_Schmitten 2024", x = "Datum", y = "Zeit")
pdf("61389_Schmitten_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="61389_Schmitten_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
61389_Schmitten["Sonnenaufgang"] <- strftime(61389_Schmitten$sr, format="%H:%M")
61389_Schmitten["Sonnenuntergang"] <- strftime(61389_Schmitten$ss, format="%H:%M")
write.table(61389_Schmitten, file="61389_Schmitten_SaSu.csv", dec=',', sep=';', row.names=FALSE)