library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
31688 <- sunrise.set(52.2892265,9.1536624, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 31688$sunrise
sunset <- 31688$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
31688["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
31688["ss"] <- as.POSIXct(sunset, format = "%H:%M")
31688["timestamp"] <- align.time(31688$sunrise, 60*10)
31688 <- 31688[c("timestamp", "sr", "ss")]
locsrss <- ggplot(31688, aes(x=31688$timestamp)) + geom_line(aes(y=31688$sr)) + geom_line(aes(y=31688$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 31688 2024", x = "Datum", y = "Zeit")
pdf("31688_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="31688_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
31688["Sonnenaufgang"] <- strftime(31688$sr, format="%H:%M")
31688["Sonnenuntergang"] <- strftime(31688$ss, format="%H:%M")
write.table(31688, file="31688_SaSu.csv", dec=',', sep=';', row.names=FALSE)