library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
67269 <- sunrise.set(49.5622581,8.1565095, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 67269$sunrise
sunset <- 67269$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
67269["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
67269["ss"] <- as.POSIXct(sunset, format = "%H:%M")
67269["timestamp"] <- align.time(67269$sunrise, 60*10)
67269 <- 67269[c("timestamp", "sr", "ss")]
locsrss <- ggplot(67269, aes(x=67269$timestamp)) + geom_line(aes(y=67269$sr)) + geom_line(aes(y=67269$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 67269 2024", x = "Datum", y = "Zeit")
pdf("67269_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="67269_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
67269["Sonnenaufgang"] <- strftime(67269$sr, format="%H:%M")
67269["Sonnenuntergang"] <- strftime(67269$ss, format="%H:%M")
write.table(67269, file="67269_SaSu.csv", dec=',', sep=';', row.names=FALSE)