library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
22889 <- sunrise.set(53.736687,10.0839485, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 22889$sunrise
sunset <- 22889$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
22889["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
22889["ss"] <- as.POSIXct(sunset, format = "%H:%M")
22889["timestamp"] <- align.time(22889$sunrise, 60*10)
22889 <- 22889[c("timestamp", "sr", "ss")]
locsrss <- ggplot(22889, aes(x=22889$timestamp)) + geom_line(aes(y=22889$sr)) + geom_line(aes(y=22889$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 22889 2025", x = "Datum", y = "Zeit")
pdf("22889_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="22889_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
22889["Sonnenaufgang"] <- strftime(22889$sr, format="%H:%M")
22889["Sonnenuntergang"] <- strftime(22889$ss, format="%H:%M")
write.table(22889, file="22889_SaSu.csv", dec=',', sep=';', row.names=FALSE)