library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
49393_Lohne_Lerchental <- sunrise.set(52.67273909106213,8.205499649047851, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 49393_Lohne_Lerchental$sunrise
sunset <- 49393_Lohne_Lerchental$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
49393_Lohne_Lerchental["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
49393_Lohne_Lerchental["ss"] <- as.POSIXct(sunset, format = "%H:%M")
49393_Lohne_Lerchental["timestamp"] <- align.time(49393_Lohne_Lerchental$sunrise, 60*10)
49393_Lohne_Lerchental <- 49393_Lohne_Lerchental[c("timestamp", "sr", "ss")]
locsrss <- ggplot(49393_Lohne_Lerchental, aes(x=49393_Lohne_Lerchental$timestamp)) + geom_line(aes(y=49393_Lohne_Lerchental$sr)) + geom_line(aes(y=49393_Lohne_Lerchental$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 49393_Lohne_Lerchental 2024", x = "Datum", y = "Zeit")
pdf("49393_Lohne_Lerchental_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="49393_Lohne_Lerchental_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
49393_Lohne_Lerchental["Sonnenaufgang"] <- strftime(49393_Lohne_Lerchental$sr, format="%H:%M")
49393_Lohne_Lerchental["Sonnenuntergang"] <- strftime(49393_Lohne_Lerchental$ss, format="%H:%M")
write.table(49393_Lohne_Lerchental, file="49393_Lohne_Lerchental_SaSu.csv", dec=',', sep=';', row.names=FALSE)