library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
25992_List <- sunrise.set(55.0186448,8.4062649, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 25992_List$sunrise
sunset <- 25992_List$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
25992_List["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
25992_List["ss"] <- as.POSIXct(sunset, format = "%H:%M")
25992_List["timestamp"] <- align.time(25992_List$sunrise, 60*10)
25992_List <- 25992_List[c("timestamp", "sr", "ss")]
locsrss <- ggplot(25992_List, aes(x=25992_List$timestamp)) + geom_line(aes(y=25992_List$sr)) + geom_line(aes(y=25992_List$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 25992_List 2021", x = "Datum", y = "Zeit")
pdf("25992_List_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="25992_List_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
25992_List["Sonnenaufgang"] <- strftime(25992_List$sr, format="%H:%M")
25992_List["Sonnenuntergang"] <- strftime(25992_List$ss, format="%H:%M")
write.table(25992_List, file="25992_List_SaSu.csv", dec=',', sep=';', row.names=FALSE)