library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
75181 <- sunrise.set(48.8565558,8.7404424, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 75181$sunrise
sunset <- 75181$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
75181["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
75181["ss"] <- as.POSIXct(sunset, format = "%H:%M")
75181["timestamp"] <- align.time(75181$sunrise, 60*10)
75181 <- 75181[c("timestamp", "sr", "ss")]
locsrss <- ggplot(75181, aes(x=75181$timestamp)) + geom_line(aes(y=75181$sr)) + geom_line(aes(y=75181$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 75181 2024", x = "Datum", y = "Zeit")
pdf("75181_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="75181_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
75181["Sonnenaufgang"] <- strftime(75181$sr, format="%H:%M")
75181["Sonnenuntergang"] <- strftime(75181$ss, format="%H:%M")
write.table(75181, file="75181_SaSu.csv", dec=',', sep=';', row.names=FALSE)