library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Amstelveen_boogschutter_140 <- sunrise.set(52.2841287,4.8550928, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Amstelveen_boogschutter_140$sunrise
sunset <- Amstelveen_boogschutter_140$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Amstelveen_boogschutter_140["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Amstelveen_boogschutter_140["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Amstelveen_boogschutter_140["timestamp"] <- align.time(Amstelveen_boogschutter_140$sunrise, 60*10)
Amstelveen_boogschutter_140 <- Amstelveen_boogschutter_140[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Amstelveen_boogschutter_140, aes(x=Amstelveen_boogschutter_140$timestamp)) + geom_line(aes(y=Amstelveen_boogschutter_140$sr)) + geom_line(aes(y=Amstelveen_boogschutter_140$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Amstelveen_boogschutter_140 2023", x = "Datum", y = "Zeit")
pdf("Amstelveen_boogschutter_140_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Amstelveen_boogschutter_140_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Amstelveen_boogschutter_140["Sonnenaufgang"] <- strftime(Amstelveen_boogschutter_140$sr, format="%H:%M")
Amstelveen_boogschutter_140["Sonnenuntergang"] <- strftime(Amstelveen_boogschutter_140$ss, format="%H:%M")
write.table(Amstelveen_boogschutter_140, file="Amstelveen_boogschutter_140_SaSu.csv", dec=',', sep=';', row.names=FALSE)