library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
78606 <- sunrise.set(48.0174196,8.7265964, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 78606$sunrise
sunset <- 78606$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
78606["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
78606["ss"] <- as.POSIXct(sunset, format = "%H:%M")
78606["timestamp"] <- align.time(78606$sunrise, 60*10)
78606 <- 78606[c("timestamp", "sr", "ss")]
locsrss <- ggplot(78606, aes(x=78606$timestamp)) + geom_line(aes(y=78606$sr)) + geom_line(aes(y=78606$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 78606 2024", x = "Datum", y = "Zeit")
pdf("78606_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="78606_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
78606["Sonnenaufgang"] <- strftime(78606$sr, format="%H:%M")
78606["Sonnenuntergang"] <- strftime(78606$ss, format="%H:%M")
write.table(78606, file="78606_SaSu.csv", dec=',', sep=';', row.names=FALSE)