library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
08606 <- sunrise.set(50.3625638,12.0797301, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 08606$sunrise
sunset <- 08606$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
08606["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
08606["ss"] <- as.POSIXct(sunset, format = "%H:%M")
08606["timestamp"] <- align.time(08606$sunrise, 60*10)
08606 <- 08606[c("timestamp", "sr", "ss")]
locsrss <- ggplot(08606, aes(x=08606$timestamp)) + geom_line(aes(y=08606$sr)) + geom_line(aes(y=08606$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 08606 2024", x = "Datum", y = "Zeit")
pdf("08606_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="08606_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
08606["Sonnenaufgang"] <- strftime(08606$sr, format="%H:%M")
08606["Sonnenuntergang"] <- strftime(08606$ss, format="%H:%M")
write.table(08606, file="08606_SaSu.csv", dec=',', sep=';', row.names=FALSE)