library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
56729_Langenfeld <- sunrise.set(50.371999924869996,7.089604563476541, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 56729_Langenfeld$sunrise
sunset <- 56729_Langenfeld$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
56729_Langenfeld["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
56729_Langenfeld["ss"] <- as.POSIXct(sunset, format = "%H:%M")
56729_Langenfeld["timestamp"] <- align.time(56729_Langenfeld$sunrise, 60*10)
56729_Langenfeld <- 56729_Langenfeld[c("timestamp", "sr", "ss")]
locsrss <- ggplot(56729_Langenfeld, aes(x=56729_Langenfeld$timestamp)) + geom_line(aes(y=56729_Langenfeld$sr)) + geom_line(aes(y=56729_Langenfeld$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 56729_Langenfeld 2024", x = "Datum", y = "Zeit")
pdf("56729_Langenfeld_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="56729_Langenfeld_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
56729_Langenfeld["Sonnenaufgang"] <- strftime(56729_Langenfeld$sr, format="%H:%M")
56729_Langenfeld["Sonnenuntergang"] <- strftime(56729_Langenfeld$ss, format="%H:%M")
write.table(56729_Langenfeld, file="56729_Langenfeld_SaSu.csv", dec=',', sep=';', row.names=FALSE)