library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
04936_Schlieben <- sunrise.set(51.7227689,13.381901900000003, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 04936_Schlieben$sunrise
sunset <- 04936_Schlieben$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
04936_Schlieben["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
04936_Schlieben["ss"] <- as.POSIXct(sunset, format = "%H:%M")
04936_Schlieben["timestamp"] <- align.time(04936_Schlieben$sunrise, 60*10)
04936_Schlieben <- 04936_Schlieben[c("timestamp", "sr", "ss")]
locsrss <- ggplot(04936_Schlieben, aes(x=04936_Schlieben$timestamp)) + geom_line(aes(y=04936_Schlieben$sr)) + geom_line(aes(y=04936_Schlieben$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 04936_Schlieben 2024", x = "Datum", y = "Zeit")
pdf("04936_Schlieben_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="04936_Schlieben_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
04936_Schlieben["Sonnenaufgang"] <- strftime(04936_Schlieben$sr, format="%H:%M")
04936_Schlieben["Sonnenuntergang"] <- strftime(04936_Schlieben$ss, format="%H:%M")
write.table(04936_Schlieben, file="04936_Schlieben_SaSu.csv", dec=',', sep=';', row.names=FALSE)