library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Cadzand_Bad <- sunrise.set(51.163375,3.3876681000000417, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Cadzand_Bad$sunrise
sunset <- Cadzand_Bad$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Cadzand_Bad["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Cadzand_Bad["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Cadzand_Bad["timestamp"] <- align.time(Cadzand_Bad$sunrise, 60*10)
Cadzand_Bad <- Cadzand_Bad[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Cadzand_Bad, aes(x=Cadzand_Bad$timestamp)) + geom_line(aes(y=Cadzand_Bad$sr)) + geom_line(aes(y=Cadzand_Bad$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Cadzand_Bad 2024", x = "Datum", y = "Zeit")
pdf("Cadzand_Bad_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Cadzand_Bad_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Cadzand_Bad["Sonnenaufgang"] <- strftime(Cadzand_Bad$sr, format="%H:%M")
Cadzand_Bad["Sonnenuntergang"] <- strftime(Cadzand_Bad$ss, format="%H:%M")
write.table(Cadzand_Bad, file="Cadzand_Bad_SaSu.csv", dec=',', sep=';', row.names=FALSE)