library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
68753 <- sunrise.set(49.2495336,8.51543479999998, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 68753$sunrise
sunset <- 68753$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
68753["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
68753["ss"] <- as.POSIXct(sunset, format = "%H:%M")
68753["timestamp"] <- align.time(68753$sunrise, 60*10)
68753 <- 68753[c("timestamp", "sr", "ss")]
locsrss <- ggplot(68753, aes(x=68753$timestamp)) + geom_line(aes(y=68753$sr)) + geom_line(aes(y=68753$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 68753 2021", x = "Datum", y = "Zeit")
pdf("68753_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="68753_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
68753["Sonnenaufgang"] <- strftime(68753$sr, format="%H:%M")
68753["Sonnenuntergang"] <- strftime(68753$ss, format="%H:%M")
write.table(68753, file="68753_SaSu.csv", dec=',', sep=';', row.names=FALSE)