library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
30900 <- sunrise.set(52.52097363991846,9.7503662109375, "2025/01/01", timezone="MET", num.days=370)
sunrise <- 30900$sunrise
sunset <- 30900$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
30900["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
30900["ss"] <- as.POSIXct(sunset, format = "%H:%M")
30900["timestamp"] <- align.time(30900$sunrise, 60*10)
30900 <- 30900[c("timestamp", "sr", "ss")]
locsrss <- ggplot(30900, aes(x=30900$timestamp)) + geom_line(aes(y=30900$sr)) + geom_line(aes(y=30900$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 30900 2025", x = "Datum", y = "Zeit")
pdf("30900_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="30900_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
30900["Sonnenaufgang"] <- strftime(30900$sr, format="%H:%M")
30900["Sonnenuntergang"] <- strftime(30900$ss, format="%H:%M")
write.table(30900, file="30900_SaSu.csv", dec=',', sep=';', row.names=FALSE)