library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
06842 <- sunrise.set(51.7964612,12.2994933, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 06842$sunrise
sunset <- 06842$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
06842["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
06842["ss"] <- as.POSIXct(sunset, format = "%H:%M")
06842["timestamp"] <- align.time(06842$sunrise, 60*10)
06842 <- 06842[c("timestamp", "sr", "ss")]
locsrss <- ggplot(06842, aes(x=06842$timestamp)) + geom_line(aes(y=06842$sr)) + geom_line(aes(y=06842$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 06842 2024", x = "Datum", y = "Zeit")
pdf("06842_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="06842_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
06842["Sonnenaufgang"] <- strftime(06842$sr, format="%H:%M")
06842["Sonnenuntergang"] <- strftime(06842$ss, format="%H:%M")
write.table(06842, file="06842_SaSu.csv", dec=',', sep=';', row.names=FALSE)