library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
16269_Wriezen <- sunrise.set(52.7015681,14.091710700000021, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 16269_Wriezen$sunrise
sunset <- 16269_Wriezen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
16269_Wriezen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
16269_Wriezen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
16269_Wriezen["timestamp"] <- align.time(16269_Wriezen$sunrise, 60*10)
16269_Wriezen <- 16269_Wriezen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(16269_Wriezen, aes(x=16269_Wriezen$timestamp)) + geom_line(aes(y=16269_Wriezen$sr)) + geom_line(aes(y=16269_Wriezen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 16269_Wriezen 2024", x = "Datum", y = "Zeit")
pdf("16269_Wriezen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="16269_Wriezen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
16269_Wriezen["Sonnenaufgang"] <- strftime(16269_Wriezen$sr, format="%H:%M")
16269_Wriezen["Sonnenuntergang"] <- strftime(16269_Wriezen$ss, format="%H:%M")
write.table(16269_Wriezen, file="16269_Wriezen_SaSu.csv", dec=',', sep=';', row.names=FALSE)