library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
DE_Kerpen_Horrem <- sunrise.set(50.91434529374152,6.7121230217040875, "2024/01/01", timezone="MET", num.days=370)
sunrise <- DE_Kerpen_Horrem$sunrise
sunset <- DE_Kerpen_Horrem$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
DE_Kerpen_Horrem["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
DE_Kerpen_Horrem["ss"] <- as.POSIXct(sunset, format = "%H:%M")
DE_Kerpen_Horrem["timestamp"] <- align.time(DE_Kerpen_Horrem$sunrise, 60*10)
DE_Kerpen_Horrem <- DE_Kerpen_Horrem[c("timestamp", "sr", "ss")]
locsrss <- ggplot(DE_Kerpen_Horrem, aes(x=DE_Kerpen_Horrem$timestamp)) + geom_line(aes(y=DE_Kerpen_Horrem$sr)) + geom_line(aes(y=DE_Kerpen_Horrem$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - DE_Kerpen_Horrem 2024", x = "Datum", y = "Zeit")
pdf("DE_Kerpen_Horrem_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="DE_Kerpen_Horrem_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
DE_Kerpen_Horrem["Sonnenaufgang"] <- strftime(DE_Kerpen_Horrem$sr, format="%H:%M")
DE_Kerpen_Horrem["Sonnenuntergang"] <- strftime(DE_Kerpen_Horrem$ss, format="%H:%M")
write.table(DE_Kerpen_Horrem, file="DE_Kerpen_Horrem_SaSu.csv", dec=',', sep=';', row.names=FALSE)