library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
96138 <- sunrise.set(49.80526,10.7781563, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 96138$sunrise
sunset <- 96138$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
96138["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
96138["ss"] <- as.POSIXct(sunset, format = "%H:%M")
96138["timestamp"] <- align.time(96138$sunrise, 60*10)
96138 <- 96138[c("timestamp", "sr", "ss")]
locsrss <- ggplot(96138, aes(x=96138$timestamp)) + geom_line(aes(y=96138$sr)) + geom_line(aes(y=96138$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 96138 2024", x = "Datum", y = "Zeit")
pdf("96138_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="96138_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
96138["Sonnenaufgang"] <- strftime(96138$sr, format="%H:%M")
96138["Sonnenuntergang"] <- strftime(96138$ss, format="%H:%M")
write.table(96138, file="96138_SaSu.csv", dec=',', sep=';', row.names=FALSE)