library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
41472_Neuss <- sunrise.set(51.13455469147685,6.6707611083984375, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 41472_Neuss$sunrise
sunset <- 41472_Neuss$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
41472_Neuss["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
41472_Neuss["ss"] <- as.POSIXct(sunset, format = "%H:%M")
41472_Neuss["timestamp"] <- align.time(41472_Neuss$sunrise, 60*10)
41472_Neuss <- 41472_Neuss[c("timestamp", "sr", "ss")]
locsrss <- ggplot(41472_Neuss, aes(x=41472_Neuss$timestamp)) + geom_line(aes(y=41472_Neuss$sr)) + geom_line(aes(y=41472_Neuss$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 41472_Neuss 2023", x = "Datum", y = "Zeit")
pdf("41472_Neuss_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="41472_Neuss_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
41472_Neuss["Sonnenaufgang"] <- strftime(41472_Neuss$sr, format="%H:%M")
41472_Neuss["Sonnenuntergang"] <- strftime(41472_Neuss$ss, format="%H:%M")
write.table(41472_Neuss, file="41472_Neuss_SaSu.csv", dec=',', sep=';', row.names=FALSE)