library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
44805_Bochum <- sunrise.set(51.4818445,7.216236299999991, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 44805_Bochum$sunrise
sunset <- 44805_Bochum$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
44805_Bochum["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
44805_Bochum["ss"] <- as.POSIXct(sunset, format = "%H:%M")
44805_Bochum["timestamp"] <- align.time(44805_Bochum$sunrise, 60*10)
44805_Bochum <- 44805_Bochum[c("timestamp", "sr", "ss")]
locsrss <- ggplot(44805_Bochum, aes(x=44805_Bochum$timestamp)) + geom_line(aes(y=44805_Bochum$sr)) + geom_line(aes(y=44805_Bochum$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44805_Bochum 2024", x = "Datum", y = "Zeit")
pdf("44805_Bochum_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="44805_Bochum_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
44805_Bochum["Sonnenaufgang"] <- strftime(44805_Bochum$sr, format="%H:%M")
44805_Bochum["Sonnenuntergang"] <- strftime(44805_Bochum$ss, format="%H:%M")
write.table(44805_Bochum, file="44805_Bochum_SaSu.csv", dec=',', sep=';', row.names=FALSE)