library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
70619 <- sunrise.set(48.7430149,9.2150882, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 70619$sunrise
sunset <- 70619$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
70619["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
70619["ss"] <- as.POSIXct(sunset, format = "%H:%M")
70619["timestamp"] <- align.time(70619$sunrise, 60*10)
70619 <- 70619[c("timestamp", "sr", "ss")]
locsrss <- ggplot(70619, aes(x=70619$timestamp)) + geom_line(aes(y=70619$sr)) + geom_line(aes(y=70619$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 70619 2024", x = "Datum", y = "Zeit")
pdf("70619_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="70619_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
70619["Sonnenaufgang"] <- strftime(70619$sr, format="%H:%M")
70619["Sonnenuntergang"] <- strftime(70619$ss, format="%H:%M")
write.table(70619, file="70619_SaSu.csv", dec=',', sep=';', row.names=FALSE)