library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Atburgazi_t��rkei <- sunrise.set(37.6377416,27.242625900000007, "2023/01/01", timezone="MET", num.days=370)
sunrise <- Atburgazi_t��rkei$sunrise
sunset <- Atburgazi_t��rkei$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Atburgazi_t��rkei["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Atburgazi_t��rkei["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Atburgazi_t��rkei["timestamp"] <- align.time(Atburgazi_t��rkei$sunrise, 60*10)
Atburgazi_t��rkei <- Atburgazi_t��rkei[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Atburgazi_t��rkei, aes(x=Atburgazi_t��rkei$timestamp)) + geom_line(aes(y=Atburgazi_t��rkei$sr)) + geom_line(aes(y=Atburgazi_t��rkei$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Atburgazi_t��rkei 2023", x = "Datum", y = "Zeit")
pdf("Atburgazi_t��rkei_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Atburgazi_t��rkei_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Atburgazi_t��rkei["Sonnenaufgang"] <- strftime(Atburgazi_t��rkei$sr, format="%H:%M")
Atburgazi_t��rkei["Sonnenuntergang"] <- strftime(Atburgazi_t��rkei$ss, format="%H:%M")
write.table(Atburgazi_t��rkei, file="Atburgazi_t��rkei_SaSu.csv", dec=',', sep=';', row.names=FALSE)