library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
63533 <- sunrise.set(50.0134137,9.0150043, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 63533$sunrise
sunset <- 63533$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
63533["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
63533["ss"] <- as.POSIXct(sunset, format = "%H:%M")
63533["timestamp"] <- align.time(63533$sunrise, 60*10)
63533 <- 63533[c("timestamp", "sr", "ss")]
locsrss <- ggplot(63533, aes(x=63533$timestamp)) + geom_line(aes(y=63533$sr)) + geom_line(aes(y=63533$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 63533 2024", x = "Datum", y = "Zeit")
pdf("63533_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="63533_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
63533["Sonnenaufgang"] <- strftime(63533$sr, format="%H:%M")
63533["Sonnenuntergang"] <- strftime(63533$ss, format="%H:%M")
write.table(63533, file="63533_SaSu.csv", dec=',', sep=';', row.names=FALSE)