library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
99974 <- sunrise.set(51.20763622191245,10.470829010009766, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 99974$sunrise
sunset <- 99974$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
99974["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
99974["ss"] <- as.POSIXct(sunset, format = "%H:%M")
99974["timestamp"] <- align.time(99974$sunrise, 60*10)
99974 <- 99974[c("timestamp", "sr", "ss")]
locsrss <- ggplot(99974, aes(x=99974$timestamp)) + geom_line(aes(y=99974$sr)) + geom_line(aes(y=99974$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 99974 2021", x = "Datum", y = "Zeit")
pdf("99974_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="99974_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
99974["Sonnenaufgang"] <- strftime(99974$sr, format="%H:%M")
99974["Sonnenuntergang"] <- strftime(99974$ss, format="%H:%M")
write.table(99974, file="99974_SaSu.csv", dec=',', sep=';', row.names=FALSE)