library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
98547_Schwarza <- sunrise.set(50.6185609,10.52946099999997, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 98547_Schwarza$sunrise
sunset <- 98547_Schwarza$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
98547_Schwarza["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
98547_Schwarza["ss"] <- as.POSIXct(sunset, format = "%H:%M")
98547_Schwarza["timestamp"] <- align.time(98547_Schwarza$sunrise, 60*10)
98547_Schwarza <- 98547_Schwarza[c("timestamp", "sr", "ss")]
locsrss <- ggplot(98547_Schwarza, aes(x=98547_Schwarza$timestamp)) + geom_line(aes(y=98547_Schwarza$sr)) + geom_line(aes(y=98547_Schwarza$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 98547_Schwarza 2024", x = "Datum", y = "Zeit")
pdf("98547_Schwarza_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="98547_Schwarza_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
98547_Schwarza["Sonnenaufgang"] <- strftime(98547_Schwarza$sr, format="%H:%M")
98547_Schwarza["Sonnenuntergang"] <- strftime(98547_Schwarza$ss, format="%H:%M")
write.table(98547_Schwarza, file="98547_Schwarza_SaSu.csv", dec=',', sep=';', row.names=FALSE)