library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
50169_Kerpen___Horrem <- sunrise.set(50.91634072905224,6.7083035560668804, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 50169_Kerpen___Horrem$sunrise
sunset <- 50169_Kerpen___Horrem$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
50169_Kerpen___Horrem["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
50169_Kerpen___Horrem["ss"] <- as.POSIXct(sunset, format = "%H:%M")
50169_Kerpen___Horrem["timestamp"] <- align.time(50169_Kerpen___Horrem$sunrise, 60*10)
50169_Kerpen___Horrem <- 50169_Kerpen___Horrem[c("timestamp", "sr", "ss")]
locsrss <- ggplot(50169_Kerpen___Horrem, aes(x=50169_Kerpen___Horrem$timestamp)) + geom_line(aes(y=50169_Kerpen___Horrem$sr)) + geom_line(aes(y=50169_Kerpen___Horrem$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 50169_Kerpen___Horrem 2024", x = "Datum", y = "Zeit")
pdf("50169_Kerpen___Horrem_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="50169_Kerpen___Horrem_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
50169_Kerpen___Horrem["Sonnenaufgang"] <- strftime(50169_Kerpen___Horrem$sr, format="%H:%M")
50169_Kerpen___Horrem["Sonnenuntergang"] <- strftime(50169_Kerpen___Horrem$ss, format="%H:%M")
write.table(50169_Kerpen___Horrem, file="50169_Kerpen___Horrem_SaSu.csv", dec=',', sep=';', row.names=FALSE)