library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
64319 <- sunrise.set(49.80123172021398,8.604200308889745, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 64319$sunrise
sunset <- 64319$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
64319["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
64319["ss"] <- as.POSIXct(sunset, format = "%H:%M")
64319["timestamp"] <- align.time(64319$sunrise, 60*10)
64319 <- 64319[c("timestamp", "sr", "ss")]
locsrss <- ggplot(64319, aes(x=64319$timestamp)) + geom_line(aes(y=64319$sr)) + geom_line(aes(y=64319$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 64319 2024", x = "Datum", y = "Zeit")
pdf("64319_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="64319_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
64319["Sonnenaufgang"] <- strftime(64319$sr, format="%H:%M")
64319["Sonnenuntergang"] <- strftime(64319$ss, format="%H:%M")
write.table(64319, file="64319_SaSu.csv", dec=',', sep=';', row.names=FALSE)