library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
97833 <- sunrise.set(50.0635926,9.4704092, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 97833$sunrise
sunset <- 97833$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
97833["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
97833["ss"] <- as.POSIXct(sunset, format = "%H:%M")
97833["timestamp"] <- align.time(97833$sunrise, 60*10)
97833 <- 97833[c("timestamp", "sr", "ss")]
locsrss <- ggplot(97833, aes(x=97833$timestamp)) + geom_line(aes(y=97833$sr)) + geom_line(aes(y=97833$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 97833 2021", x = "Datum", y = "Zeit")
pdf("97833_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="97833_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
97833["Sonnenaufgang"] <- strftime(97833$sr, format="%H:%M")
97833["Sonnenuntergang"] <- strftime(97833$ss, format="%H:%M")
write.table(97833, file="97833_SaSu.csv", dec=',', sep=';', row.names=FALSE)