library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
33098 <- sunrise.set(51.7189205,8.757509300000038, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 33098$sunrise
sunset <- 33098$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
33098["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
33098["ss"] <- as.POSIXct(sunset, format = "%H:%M")
33098["timestamp"] <- align.time(33098$sunrise, 60*10)
33098 <- 33098[c("timestamp", "sr", "ss")]
locsrss <- ggplot(33098, aes(x=33098$timestamp)) + geom_line(aes(y=33098$sr)) + geom_line(aes(y=33098$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 33098 2021", x = "Datum", y = "Zeit")
pdf("33098_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="33098_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
33098["Sonnenaufgang"] <- strftime(33098$sr, format="%H:%M")
33098["Sonnenuntergang"] <- strftime(33098$ss, format="%H:%M")
write.table(33098, file="33098_SaSu.csv", dec=',', sep=';', row.names=FALSE)