library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
56299_Ochtendung <- sunrise.set(50.35323760408799,7.385644912719727, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 56299_Ochtendung$sunrise
sunset <- 56299_Ochtendung$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
56299_Ochtendung["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
56299_Ochtendung["ss"] <- as.POSIXct(sunset, format = "%H:%M")
56299_Ochtendung["timestamp"] <- align.time(56299_Ochtendung$sunrise, 60*10)
56299_Ochtendung <- 56299_Ochtendung[c("timestamp", "sr", "ss")]
locsrss <- ggplot(56299_Ochtendung, aes(x=56299_Ochtendung$timestamp)) + geom_line(aes(y=56299_Ochtendung$sr)) + geom_line(aes(y=56299_Ochtendung$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 56299_Ochtendung 2023", x = "Datum", y = "Zeit")
pdf("56299_Ochtendung_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="56299_Ochtendung_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
56299_Ochtendung["Sonnenaufgang"] <- strftime(56299_Ochtendung$sr, format="%H:%M")
56299_Ochtendung["Sonnenuntergang"] <- strftime(56299_Ochtendung$ss, format="%H:%M")
write.table(56299_Ochtendung, file="56299_Ochtendung_SaSu.csv", dec=',', sep=';', row.names=FALSE)