library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
38835_Hessen <- sunrise.set(52.01826,10.78051, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 38835_Hessen$sunrise
sunset <- 38835_Hessen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
38835_Hessen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
38835_Hessen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
38835_Hessen["timestamp"] <- align.time(38835_Hessen$sunrise, 60*10)
38835_Hessen <- 38835_Hessen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(38835_Hessen, aes(x=38835_Hessen$timestamp)) + geom_line(aes(y=38835_Hessen$sr)) + geom_line(aes(y=38835_Hessen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 38835_Hessen 2024", x = "Datum", y = "Zeit")
pdf("38835_Hessen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="38835_Hessen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
38835_Hessen["Sonnenaufgang"] <- strftime(38835_Hessen$sr, format="%H:%M")
38835_Hessen["Sonnenuntergang"] <- strftime(38835_Hessen$ss, format="%H:%M")
write.table(38835_Hessen, file="38835_Hessen_SaSu.csv", dec=',', sep=';', row.names=FALSE)