library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Hundwil,_CH <- sunrise.set(47.354233946709684,9.31417465209961, "2019/01/01", timezone="MET", num.days=370)
sunrise <- Hundwil,_CH$sunrise
sunset <- Hundwil,_CH$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Hundwil,_CH["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Hundwil,_CH["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Hundwil,_CH["timestamp"] <- align.time(Hundwil,_CH$sunrise, 60*10)
Hundwil,_CH <- Hundwil,_CH[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Hundwil,_CH, aes(x=Hundwil,_CH$timestamp)) + geom_line(aes(y=Hundwil,_CH$sr)) + geom_line(aes(y=Hundwil,_CH$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Hundwil,_CH 2019", x = "Datum", y = "Zeit")
pdf("Hundwil,_CH_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Hundwil,_CH_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Hundwil,_CH["Sonnenaufgang"] <- strftime(Hundwil,_CH$sr, format="%H:%M")
Hundwil,_CH["Sonnenuntergang"] <- strftime(Hundwil,_CH$ss, format="%H:%M")
write.table(Hundwil,_CH, file="Hundwil,_CH_SaSu.csv", dec=',', sep=';', row.names=FALSE)