library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
59846_Sundern <- sunrise.set(51.31489558610758,7.998046875, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 59846_Sundern$sunrise
sunset <- 59846_Sundern$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
59846_Sundern["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
59846_Sundern["ss"] <- as.POSIXct(sunset, format = "%H:%M")
59846_Sundern["timestamp"] <- align.time(59846_Sundern$sunrise, 60*10)
59846_Sundern <- 59846_Sundern[c("timestamp", "sr", "ss")]
locsrss <- ggplot(59846_Sundern, aes(x=59846_Sundern$timestamp)) + geom_line(aes(y=59846_Sundern$sr)) + geom_line(aes(y=59846_Sundern$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 59846_Sundern 2024", x = "Datum", y = "Zeit")
pdf("59846_Sundern_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="59846_Sundern_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
59846_Sundern["Sonnenaufgang"] <- strftime(59846_Sundern$sr, format="%H:%M")
59846_Sundern["Sonnenuntergang"] <- strftime(59846_Sundern$ss, format="%H:%M")
write.table(59846_Sundern, file="59846_Sundern_SaSu.csv", dec=',', sep=';', row.names=FALSE)