library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
83703 <- sunrise.set(47.7440224,11.766137999999955, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 83703$sunrise
sunset <- 83703$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
83703["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
83703["ss"] <- as.POSIXct(sunset, format = "%H:%M")
83703["timestamp"] <- align.time(83703$sunrise, 60*10)
83703 <- 83703[c("timestamp", "sr", "ss")]
locsrss <- ggplot(83703, aes(x=83703$timestamp)) + geom_line(aes(y=83703$sr)) + geom_line(aes(y=83703$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 83703 2024", x = "Datum", y = "Zeit")
pdf("83703_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="83703_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
83703["Sonnenaufgang"] <- strftime(83703$sr, format="%H:%M")
83703["Sonnenuntergang"] <- strftime(83703$ss, format="%H:%M")
write.table(83703, file="83703_SaSu.csv", dec=',', sep=';', row.names=FALSE)