library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
76131 <- sunrise.set(49.0216391,8.4333594, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 76131$sunrise
sunset <- 76131$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
76131["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
76131["ss"] <- as.POSIXct(sunset, format = "%H:%M")
76131["timestamp"] <- align.time(76131$sunrise, 60*10)
76131 <- 76131[c("timestamp", "sr", "ss")]
locsrss <- ggplot(76131, aes(x=76131$timestamp)) + geom_line(aes(y=76131$sr)) + geom_line(aes(y=76131$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 76131 2024", x = "Datum", y = "Zeit")
pdf("76131_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="76131_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
76131["Sonnenaufgang"] <- strftime(76131$sr, format="%H:%M")
76131["Sonnenuntergang"] <- strftime(76131$ss, format="%H:%M")
write.table(76131, file="76131_SaSu.csv", dec=',', sep=';', row.names=FALSE)