library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
35094_Lahntal_Sarnau <- sunrise.set(50.86859481389967,8.757691383361816, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 35094_Lahntal_Sarnau$sunrise
sunset <- 35094_Lahntal_Sarnau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
35094_Lahntal_Sarnau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
35094_Lahntal_Sarnau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
35094_Lahntal_Sarnau["timestamp"] <- align.time(35094_Lahntal_Sarnau$sunrise, 60*10)
35094_Lahntal_Sarnau <- 35094_Lahntal_Sarnau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(35094_Lahntal_Sarnau, aes(x=35094_Lahntal_Sarnau$timestamp)) + geom_line(aes(y=35094_Lahntal_Sarnau$sr)) + geom_line(aes(y=35094_Lahntal_Sarnau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 35094_Lahntal_Sarnau 2024", x = "Datum", y = "Zeit")
pdf("35094_Lahntal_Sarnau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="35094_Lahntal_Sarnau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
35094_Lahntal_Sarnau["Sonnenaufgang"] <- strftime(35094_Lahntal_Sarnau$sr, format="%H:%M")
35094_Lahntal_Sarnau["Sonnenuntergang"] <- strftime(35094_Lahntal_Sarnau$ss, format="%H:%M")
write.table(35094_Lahntal_Sarnau, file="35094_Lahntal_Sarnau_SaSu.csv", dec=',', sep=';', row.names=FALSE)