library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
33104_Paderborn <- sunrise.set(51.7710084,8.73825469999997, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 33104_Paderborn$sunrise
sunset <- 33104_Paderborn$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
33104_Paderborn["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
33104_Paderborn["ss"] <- as.POSIXct(sunset, format = "%H:%M")
33104_Paderborn["timestamp"] <- align.time(33104_Paderborn$sunrise, 60*10)
33104_Paderborn <- 33104_Paderborn[c("timestamp", "sr", "ss")]
locsrss <- ggplot(33104_Paderborn, aes(x=33104_Paderborn$timestamp)) + geom_line(aes(y=33104_Paderborn$sr)) + geom_line(aes(y=33104_Paderborn$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 33104_Paderborn 2024", x = "Datum", y = "Zeit")
pdf("33104_Paderborn_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="33104_Paderborn_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
33104_Paderborn["Sonnenaufgang"] <- strftime(33104_Paderborn$sr, format="%H:%M")
33104_Paderborn["Sonnenuntergang"] <- strftime(33104_Paderborn$ss, format="%H:%M")
write.table(33104_Paderborn, file="33104_Paderborn_SaSu.csv", dec=',', sep=';', row.names=FALSE)