library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
CH_6340 <- sunrise.set(47.184112659842015,8.532943725585938, "2024/01/01", timezone="MET", num.days=370)
sunrise <- CH_6340$sunrise
sunset <- CH_6340$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
CH_6340["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
CH_6340["ss"] <- as.POSIXct(sunset, format = "%H:%M")
CH_6340["timestamp"] <- align.time(CH_6340$sunrise, 60*10)
CH_6340 <- CH_6340[c("timestamp", "sr", "ss")]
locsrss <- ggplot(CH_6340, aes(x=CH_6340$timestamp)) + geom_line(aes(y=CH_6340$sr)) + geom_line(aes(y=CH_6340$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - CH_6340 2024", x = "Datum", y = "Zeit")
pdf("CH_6340_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="CH_6340_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
CH_6340["Sonnenaufgang"] <- strftime(CH_6340$sr, format="%H:%M")
CH_6340["Sonnenuntergang"] <- strftime(CH_6340$ss, format="%H:%M")
write.table(CH_6340, file="CH_6340_SaSu.csv", dec=',', sep=';', row.names=FALSE)