library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
59174_Kamen <- sunrise.set(51.5882752,7.6590458, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 59174_Kamen$sunrise
sunset <- 59174_Kamen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
59174_Kamen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
59174_Kamen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
59174_Kamen["timestamp"] <- align.time(59174_Kamen$sunrise, 60*10)
59174_Kamen <- 59174_Kamen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(59174_Kamen, aes(x=59174_Kamen$timestamp)) + geom_line(aes(y=59174_Kamen$sr)) + geom_line(aes(y=59174_Kamen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 59174_Kamen 2024", x = "Datum", y = "Zeit")
pdf("59174_Kamen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="59174_Kamen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
59174_Kamen["Sonnenaufgang"] <- strftime(59174_Kamen$sr, format="%H:%M")
59174_Kamen["Sonnenuntergang"] <- strftime(59174_Kamen$ss, format="%H:%M")
write.table(59174_Kamen, file="59174_Kamen_SaSu.csv", dec=',', sep=';', row.names=FALSE)