library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
41542 <- sunrise.set(51.09943930000001,6.7594435999999405, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 41542$sunrise
sunset <- 41542$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
41542["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
41542["ss"] <- as.POSIXct(sunset, format = "%H:%M")
41542["timestamp"] <- align.time(41542$sunrise, 60*10)
41542 <- 41542[c("timestamp", "sr", "ss")]
locsrss <- ggplot(41542, aes(x=41542$timestamp)) + geom_line(aes(y=41542$sr)) + geom_line(aes(y=41542$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 41542 2024", x = "Datum", y = "Zeit")
pdf("41542_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="41542_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
41542["Sonnenaufgang"] <- strftime(41542$sr, format="%H:%M")
41542["Sonnenuntergang"] <- strftime(41542$ss, format="%H:%M")
write.table(41542, file="41542_SaSu.csv", dec=',', sep=';', row.names=FALSE)