library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
CH_7000 <- sunrise.set(46.56673494019748,9.797530174255371, "2024/01/01", timezone="MET", num.days=370)
sunrise <- CH_7000$sunrise
sunset <- CH_7000$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
CH_7000["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
CH_7000["ss"] <- as.POSIXct(sunset, format = "%H:%M")
CH_7000["timestamp"] <- align.time(CH_7000$sunrise, 60*10)
CH_7000 <- CH_7000[c("timestamp", "sr", "ss")]
locsrss <- ggplot(CH_7000, aes(x=CH_7000$timestamp)) + geom_line(aes(y=CH_7000$sr)) + geom_line(aes(y=CH_7000$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - CH_7000 2024", x = "Datum", y = "Zeit")
pdf("CH_7000_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="CH_7000_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
CH_7000["Sonnenaufgang"] <- strftime(CH_7000$sr, format="%H:%M")
CH_7000["Sonnenuntergang"] <- strftime(CH_7000$ss, format="%H:%M")
write.table(CH_7000, file="CH_7000_SaSu.csv", dec=',', sep=';', row.names=FALSE)