library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
19374_Domsühl <- sunrise.set(53.4875964,11.776862100000017, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 19374_Domsühl$sunrise
sunset <- 19374_Domsühl$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
19374_Domsühl["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
19374_Domsühl["ss"] <- as.POSIXct(sunset, format = "%H:%M")
19374_Domsühl["timestamp"] <- align.time(19374_Domsühl$sunrise, 60*10)
19374_Domsühl <- 19374_Domsühl[c("timestamp", "sr", "ss")]
locsrss <- ggplot(19374_Domsühl, aes(x=19374_Domsühl$timestamp)) + geom_line(aes(y=19374_Domsühl$sr)) + geom_line(aes(y=19374_Domsühl$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 19374_Domsühl 2024", x = "Datum", y = "Zeit")
pdf("19374_Domsühl_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="19374_Domsühl_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
19374_Domsühl["Sonnenaufgang"] <- strftime(19374_Domsühl$sr, format="%H:%M")
19374_Domsühl["Sonnenuntergang"] <- strftime(19374_Domsühl$ss, format="%H:%M")
write.table(19374_Domsühl, file="19374_Domsühl_SaSu.csv", dec=',', sep=';', row.names=FALSE)