library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Eckershausen_ <- sunrise.set(52.59819423360441,8.902996249121085, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Eckershausen_$sunrise
sunset <- Eckershausen_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Eckershausen_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Eckershausen_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Eckershausen_["timestamp"] <- align.time(Eckershausen_$sunrise, 60*10)
Eckershausen_ <- Eckershausen_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Eckershausen_, aes(x=Eckershausen_$timestamp)) + geom_line(aes(y=Eckershausen_$sr)) + geom_line(aes(y=Eckershausen_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Eckershausen_ 2024", x = "Datum", y = "Zeit")
pdf("Eckershausen__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Eckershausen__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Eckershausen_["Sonnenaufgang"] <- strftime(Eckershausen_$sr, format="%H:%M")
Eckershausen_["Sonnenuntergang"] <- strftime(Eckershausen_$ss, format="%H:%M")
write.table(Eckershausen_, file="Eckershausen__SaSu.csv", dec=',', sep=';', row.names=FALSE)