library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
58840 <- sunrise.set(51.2197462,7.8590561, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 58840$sunrise
sunset <- 58840$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
58840["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
58840["ss"] <- as.POSIXct(sunset, format = "%H:%M")
58840["timestamp"] <- align.time(58840$sunrise, 60*10)
58840 <- 58840[c("timestamp", "sr", "ss")]
locsrss <- ggplot(58840, aes(x=58840$timestamp)) + geom_line(aes(y=58840$sr)) + geom_line(aes(y=58840$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 58840 2024", x = "Datum", y = "Zeit")
pdf("58840_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="58840_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
58840["Sonnenaufgang"] <- strftime(58840$sr, format="%H:%M")
58840["Sonnenuntergang"] <- strftime(58840$ss, format="%H:%M")
write.table(58840, file="58840_SaSu.csv", dec=',', sep=';', row.names=FALSE)