library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
41515 <- sunrise.set(51.08212109999999,6.603842999999999, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 41515$sunrise
sunset <- 41515$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
41515["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
41515["ss"] <- as.POSIXct(sunset, format = "%H:%M")
41515["timestamp"] <- align.time(41515$sunrise, 60*10)
41515 <- 41515[c("timestamp", "sr", "ss")]
locsrss <- ggplot(41515, aes(x=41515$timestamp)) + geom_line(aes(y=41515$sr)) + geom_line(aes(y=41515$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 41515 2024", x = "Datum", y = "Zeit")
pdf("41515_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="41515_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
41515["Sonnenaufgang"] <- strftime(41515$sr, format="%H:%M")
41515["Sonnenuntergang"] <- strftime(41515$ss, format="%H:%M")
write.table(41515, file="41515_SaSu.csv", dec=',', sep=';', row.names=FALSE)