library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
26127 <- sunrise.set(53.1682014,8.1958833, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 26127$sunrise
sunset <- 26127$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
26127["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
26127["ss"] <- as.POSIXct(sunset, format = "%H:%M")
26127["timestamp"] <- align.time(26127$sunrise, 60*10)
26127 <- 26127[c("timestamp", "sr", "ss")]
locsrss <- ggplot(26127, aes(x=26127$timestamp)) + geom_line(aes(y=26127$sr)) + geom_line(aes(y=26127$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 26127 2024", x = "Datum", y = "Zeit")
pdf("26127_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="26127_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
26127["Sonnenaufgang"] <- strftime(26127$sr, format="%H:%M")
26127["Sonnenuntergang"] <- strftime(26127$ss, format="%H:%M")
write.table(26127, file="26127_SaSu.csv", dec=',', sep=';', row.names=FALSE)