library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
75056_Sulzfeld <- sunrise.set(49.10284290000001,8.855539300000032, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 75056_Sulzfeld$sunrise
sunset <- 75056_Sulzfeld$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
75056_Sulzfeld["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
75056_Sulzfeld["ss"] <- as.POSIXct(sunset, format = "%H:%M")
75056_Sulzfeld["timestamp"] <- align.time(75056_Sulzfeld$sunrise, 60*10)
75056_Sulzfeld <- 75056_Sulzfeld[c("timestamp", "sr", "ss")]
locsrss <- ggplot(75056_Sulzfeld, aes(x=75056_Sulzfeld$timestamp)) + geom_line(aes(y=75056_Sulzfeld$sr)) + geom_line(aes(y=75056_Sulzfeld$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 75056_Sulzfeld 2024", x = "Datum", y = "Zeit")
pdf("75056_Sulzfeld_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="75056_Sulzfeld_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
75056_Sulzfeld["Sonnenaufgang"] <- strftime(75056_Sulzfeld$sr, format="%H:%M")
75056_Sulzfeld["Sonnenuntergang"] <- strftime(75056_Sulzfeld$ss, format="%H:%M")
write.table(75056_Sulzfeld, file="75056_Sulzfeld_SaSu.csv", dec=',', sep=';', row.names=FALSE)