library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Isny <- sunrise.set(47.6949747,10.04196760000002, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Isny$sunrise
sunset <- Isny$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Isny["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Isny["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Isny["timestamp"] <- align.time(Isny$sunrise, 60*10)
Isny <- Isny[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Isny, aes(x=Isny$timestamp)) + geom_line(aes(y=Isny$sr)) + geom_line(aes(y=Isny$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Isny 2024", x = "Datum", y = "Zeit")
pdf("Isny_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Isny_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Isny["Sonnenaufgang"] <- strftime(Isny$sr, format="%H:%M")
Isny["Sonnenuntergang"] <- strftime(Isny$ss, format="%H:%M")
write.table(Isny, file="Isny_SaSu.csv", dec=',', sep=';', row.names=FALSE)