library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
52068 <- sunrise.set(42.4106499,-90.810357, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 52068$sunrise
sunset <- 52068$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
52068["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
52068["ss"] <- as.POSIXct(sunset, format = "%H:%M")
52068["timestamp"] <- align.time(52068$sunrise, 60*10)
52068 <- 52068[c("timestamp", "sr", "ss")]
locsrss <- ggplot(52068, aes(x=52068$timestamp)) + geom_line(aes(y=52068$sr)) + geom_line(aes(y=52068$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 52068 2021", x = "Datum", y = "Zeit")
pdf("52068_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="52068_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
52068["Sonnenaufgang"] <- strftime(52068$sr, format="%H:%M")
52068["Sonnenuntergang"] <- strftime(52068$ss, format="%H:%M")
write.table(52068, file="52068_SaSu.csv", dec=',', sep=';', row.names=FALSE)