library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
66113_Saarbr��cken <- sunrise.set(49.2511667,6.9806041, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 66113_Saarbr��cken$sunrise
sunset <- 66113_Saarbr��cken$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
66113_Saarbr��cken["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
66113_Saarbr��cken["ss"] <- as.POSIXct(sunset, format = "%H:%M")
66113_Saarbr��cken["timestamp"] <- align.time(66113_Saarbr��cken$sunrise, 60*10)
66113_Saarbr��cken <- 66113_Saarbr��cken[c("timestamp", "sr", "ss")]
locsrss <- ggplot(66113_Saarbr��cken, aes(x=66113_Saarbr��cken$timestamp)) + geom_line(aes(y=66113_Saarbr��cken$sr)) + geom_line(aes(y=66113_Saarbr��cken$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 66113_Saarbr��cken 2023", x = "Datum", y = "Zeit")
pdf("66113_Saarbr��cken_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="66113_Saarbr��cken_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
66113_Saarbr��cken["Sonnenaufgang"] <- strftime(66113_Saarbr��cken$sr, format="%H:%M")
66113_Saarbr��cken["Sonnenuntergang"] <- strftime(66113_Saarbr��cken$ss, format="%H:%M")
write.table(66113_Saarbr��cken, file="66113_Saarbr��cken_SaSu.csv", dec=',', sep=';', row.names=FALSE)