library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
39167_Wellen <- sunrise.set(52.1455674,11.442359699999997, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 39167_Wellen$sunrise
sunset <- 39167_Wellen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
39167_Wellen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
39167_Wellen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
39167_Wellen["timestamp"] <- align.time(39167_Wellen$sunrise, 60*10)
39167_Wellen <- 39167_Wellen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(39167_Wellen, aes(x=39167_Wellen$timestamp)) + geom_line(aes(y=39167_Wellen$sr)) + geom_line(aes(y=39167_Wellen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 39167_Wellen 2024", x = "Datum", y = "Zeit")
pdf("39167_Wellen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="39167_Wellen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
39167_Wellen["Sonnenaufgang"] <- strftime(39167_Wellen$sr, format="%H:%M")
39167_Wellen["Sonnenuntergang"] <- strftime(39167_Wellen$ss, format="%H:%M")
write.table(39167_Wellen, file="39167_Wellen_SaSu.csv", dec=',', sep=';', row.names=FALSE)