library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Esslingen_Neckar <- sunrise.set(48.72825623724266,9.296579360961914, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Esslingen_Neckar$sunrise
sunset <- Esslingen_Neckar$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Esslingen_Neckar["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Esslingen_Neckar["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Esslingen_Neckar["timestamp"] <- align.time(Esslingen_Neckar$sunrise, 60*10)
Esslingen_Neckar <- Esslingen_Neckar[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Esslingen_Neckar, aes(x=Esslingen_Neckar$timestamp)) + geom_line(aes(y=Esslingen_Neckar$sr)) + geom_line(aes(y=Esslingen_Neckar$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Esslingen_Neckar 2024", x = "Datum", y = "Zeit")
pdf("Esslingen_Neckar_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Esslingen_Neckar_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Esslingen_Neckar["Sonnenaufgang"] <- strftime(Esslingen_Neckar$sr, format="%H:%M")
Esslingen_Neckar["Sonnenuntergang"] <- strftime(Esslingen_Neckar$ss, format="%H:%M")
write.table(Esslingen_Neckar, file="Esslingen_Neckar_SaSu.csv", dec=',', sep=';', row.names=FALSE)