library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Binswangen <- sunrise.set(48.55792071238578,10.644432306289673, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Binswangen$sunrise
sunset <- Binswangen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Binswangen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Binswangen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Binswangen["timestamp"] <- align.time(Binswangen$sunrise, 60*10)
Binswangen <- Binswangen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Binswangen, aes(x=Binswangen$timestamp)) + geom_line(aes(y=Binswangen$sr)) + geom_line(aes(y=Binswangen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Binswangen 2024", x = "Datum", y = "Zeit")
pdf("Binswangen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Binswangen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Binswangen["Sonnenaufgang"] <- strftime(Binswangen$sr, format="%H:%M")
Binswangen["Sonnenuntergang"] <- strftime(Binswangen$ss, format="%H:%M")
write.table(Binswangen, file="Binswangen_SaSu.csv", dec=',', sep=';', row.names=FALSE)