library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
01774 <- sunrise.set(50.87291039999999,13.526343999999995, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 01774$sunrise
sunset <- 01774$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
01774["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
01774["ss"] <- as.POSIXct(sunset, format = "%H:%M")
01774["timestamp"] <- align.time(01774$sunrise, 60*10)
01774 <- 01774[c("timestamp", "sr", "ss")]
locsrss <- ggplot(01774, aes(x=01774$timestamp)) + geom_line(aes(y=01774$sr)) + geom_line(aes(y=01774$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 01774 2021", x = "Datum", y = "Zeit")
pdf("01774_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="01774_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
01774["Sonnenaufgang"] <- strftime(01774$sr, format="%H:%M")
01774["Sonnenuntergang"] <- strftime(01774$ss, format="%H:%M")
write.table(01774, file="01774_SaSu.csv", dec=',', sep=';', row.names=FALSE)