library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
35418 <- sunrise.set(50.6082767,8.782881099999999, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 35418$sunrise
sunset <- 35418$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
35418["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
35418["ss"] <- as.POSIXct(sunset, format = "%H:%M")
35418["timestamp"] <- align.time(35418$sunrise, 60*10)
35418 <- 35418[c("timestamp", "sr", "ss")]
locsrss <- ggplot(35418, aes(x=35418$timestamp)) + geom_line(aes(y=35418$sr)) + geom_line(aes(y=35418$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 35418 2024", x = "Datum", y = "Zeit")
pdf("35418_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="35418_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
35418["Sonnenaufgang"] <- strftime(35418$sr, format="%H:%M")
35418["Sonnenuntergang"] <- strftime(35418$ss, format="%H:%M")
write.table(35418, file="35418_SaSu.csv", dec=',', sep=';', row.names=FALSE)