library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
91555 <- sunrise.set(49.1666761,10.336588399999982, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 91555$sunrise
sunset <- 91555$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
91555["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
91555["ss"] <- as.POSIXct(sunset, format = "%H:%M")
91555["timestamp"] <- align.time(91555$sunrise, 60*10)
91555 <- 91555[c("timestamp", "sr", "ss")]
locsrss <- ggplot(91555, aes(x=91555$timestamp)) + geom_line(aes(y=91555$sr)) + geom_line(aes(y=91555$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 91555 2025", x = "Datum", y = "Zeit")
pdf("91555_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="91555_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
91555["Sonnenaufgang"] <- strftime(91555$sr, format="%H:%M")
91555["Sonnenuntergang"] <- strftime(91555$ss, format="%H:%M")
write.table(91555, file="91555_SaSu.csv", dec=',', sep=';', row.names=FALSE)