library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
76479_Steinmauern <- sunrise.set(48.8956552,8.19325600000002, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 76479_Steinmauern$sunrise
sunset <- 76479_Steinmauern$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
76479_Steinmauern["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
76479_Steinmauern["ss"] <- as.POSIXct(sunset, format = "%H:%M")
76479_Steinmauern["timestamp"] <- align.time(76479_Steinmauern$sunrise, 60*10)
76479_Steinmauern <- 76479_Steinmauern[c("timestamp", "sr", "ss")]
locsrss <- ggplot(76479_Steinmauern, aes(x=76479_Steinmauern$timestamp)) + geom_line(aes(y=76479_Steinmauern$sr)) + geom_line(aes(y=76479_Steinmauern$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 76479_Steinmauern 2023", x = "Datum", y = "Zeit")
pdf("76479_Steinmauern_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="76479_Steinmauern_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
76479_Steinmauern["Sonnenaufgang"] <- strftime(76479_Steinmauern$sr, format="%H:%M")
76479_Steinmauern["Sonnenuntergang"] <- strftime(76479_Steinmauern$ss, format="%H:%M")
write.table(76479_Steinmauern, file="76479_Steinmauern_SaSu.csv", dec=',', sep=';', row.names=FALSE)