library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
56637_Plaidt <- sunrise.set(50.3913185,7.3904091, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 56637_Plaidt$sunrise
sunset <- 56637_Plaidt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
56637_Plaidt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
56637_Plaidt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
56637_Plaidt["timestamp"] <- align.time(56637_Plaidt$sunrise, 60*10)
56637_Plaidt <- 56637_Plaidt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(56637_Plaidt, aes(x=56637_Plaidt$timestamp)) + geom_line(aes(y=56637_Plaidt$sr)) + geom_line(aes(y=56637_Plaidt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 56637_Plaidt 2024", x = "Datum", y = "Zeit")
pdf("56637_Plaidt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="56637_Plaidt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
56637_Plaidt["Sonnenaufgang"] <- strftime(56637_Plaidt$sr, format="%H:%M")
56637_Plaidt["Sonnenuntergang"] <- strftime(56637_Plaidt$ss, format="%H:%M")
write.table(56637_Plaidt, file="56637_Plaidt_SaSu.csv", dec=',', sep=';', row.names=FALSE)