library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
23730_Neustadt <- sunrise.set(54.09959525311355,10.890626907348632, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 23730_Neustadt$sunrise
sunset <- 23730_Neustadt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
23730_Neustadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
23730_Neustadt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
23730_Neustadt["timestamp"] <- align.time(23730_Neustadt$sunrise, 60*10)
23730_Neustadt <- 23730_Neustadt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(23730_Neustadt, aes(x=23730_Neustadt$timestamp)) + geom_line(aes(y=23730_Neustadt$sr)) + geom_line(aes(y=23730_Neustadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 23730_Neustadt 2024", x = "Datum", y = "Zeit")
pdf("23730_Neustadt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="23730_Neustadt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
23730_Neustadt["Sonnenaufgang"] <- strftime(23730_Neustadt$sr, format="%H:%M")
23730_Neustadt["Sonnenuntergang"] <- strftime(23730_Neustadt$ss, format="%H:%M")
write.table(23730_Neustadt, file="23730_Neustadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)