library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
73525 <- sunrise.set(48.79376850000001,9.798885199999999, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 73525$sunrise
sunset <- 73525$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
73525["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
73525["ss"] <- as.POSIXct(sunset, format = "%H:%M")
73525["timestamp"] <- align.time(73525$sunrise, 60*10)
73525 <- 73525[c("timestamp", "sr", "ss")]
locsrss <- ggplot(73525, aes(x=73525$timestamp)) + geom_line(aes(y=73525$sr)) + geom_line(aes(y=73525$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 73525 2023", x = "Datum", y = "Zeit")
pdf("73525_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="73525_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
73525["Sonnenaufgang"] <- strftime(73525$sr, format="%H:%M")
73525["Sonnenuntergang"] <- strftime(73525$ss, format="%H:%M")
write.table(73525, file="73525_SaSu.csv", dec=',', sep=';', row.names=FALSE)