library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
48249_D��lmen <- sunrise.set(51.8316451,7.283492600000045, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 48249_D��lmen$sunrise
sunset <- 48249_D��lmen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
48249_D��lmen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
48249_D��lmen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
48249_D��lmen["timestamp"] <- align.time(48249_D��lmen$sunrise, 60*10)
48249_D��lmen <- 48249_D��lmen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(48249_D��lmen, aes(x=48249_D��lmen$timestamp)) + geom_line(aes(y=48249_D��lmen$sr)) + geom_line(aes(y=48249_D��lmen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 48249_D��lmen 2023", x = "Datum", y = "Zeit")
pdf("48249_D��lmen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="48249_D��lmen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
48249_D��lmen["Sonnenaufgang"] <- strftime(48249_D��lmen$sr, format="%H:%M")
48249_D��lmen["Sonnenuntergang"] <- strftime(48249_D��lmen$ss, format="%H:%M")
write.table(48249_D��lmen, file="48249_D��lmen_SaSu.csv", dec=',', sep=';', row.names=FALSE)