library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
63329 <- sunrise.set(49.9674991,8.66945140000007, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 63329$sunrise
sunset <- 63329$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
63329["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
63329["ss"] <- as.POSIXct(sunset, format = "%H:%M")
63329["timestamp"] <- align.time(63329$sunrise, 60*10)
63329 <- 63329[c("timestamp", "sr", "ss")]
locsrss <- ggplot(63329, aes(x=63329$timestamp)) + geom_line(aes(y=63329$sr)) + geom_line(aes(y=63329$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 63329 2023", x = "Datum", y = "Zeit")
pdf("63329_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="63329_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
63329["Sonnenaufgang"] <- strftime(63329$sr, format="%H:%M")
63329["Sonnenuntergang"] <- strftime(63329$ss, format="%H:%M")
write.table(63329, file="63329_SaSu.csv", dec=',', sep=';', row.names=FALSE)