library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
19243_Körchow <- sunrise.set(53.4429685,11.0620428, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 19243_Körchow$sunrise
sunset <- 19243_Körchow$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
19243_Körchow["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
19243_Körchow["ss"] <- as.POSIXct(sunset, format = "%H:%M")
19243_Körchow["timestamp"] <- align.time(19243_Körchow$sunrise, 60*10)
19243_Körchow <- 19243_Körchow[c("timestamp", "sr", "ss")]
locsrss <- ggplot(19243_Körchow, aes(x=19243_Körchow$timestamp)) + geom_line(aes(y=19243_Körchow$sr)) + geom_line(aes(y=19243_Körchow$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 19243_Körchow 2024", x = "Datum", y = "Zeit")
pdf("19243_Körchow_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="19243_Körchow_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
19243_Körchow["Sonnenaufgang"] <- strftime(19243_Körchow$sr, format="%H:%M")
19243_Körchow["Sonnenuntergang"] <- strftime(19243_Körchow$ss, format="%H:%M")
write.table(19243_Körchow, file="19243_Körchow_SaSu.csv", dec=',', sep=';', row.names=FALSE)