library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
52457 <- sunrise.set(50.8965203,6.2670273, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 52457$sunrise
sunset <- 52457$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
52457["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
52457["ss"] <- as.POSIXct(sunset, format = "%H:%M")
52457["timestamp"] <- align.time(52457$sunrise, 60*10)
52457 <- 52457[c("timestamp", "sr", "ss")]
locsrss <- ggplot(52457, aes(x=52457$timestamp)) + geom_line(aes(y=52457$sr)) + geom_line(aes(y=52457$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 52457 2024", x = "Datum", y = "Zeit")
pdf("52457_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="52457_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
52457["Sonnenaufgang"] <- strftime(52457$sr, format="%H:%M")
52457["Sonnenuntergang"] <- strftime(52457$ss, format="%H:%M")
write.table(52457, file="52457_SaSu.csv", dec=',', sep=';', row.names=FALSE)