library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
69190_Walldorf <- sunrise.set(49.3063689,8.6427693, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 69190_Walldorf$sunrise
sunset <- 69190_Walldorf$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
69190_Walldorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
69190_Walldorf["ss"] <- as.POSIXct(sunset, format = "%H:%M")
69190_Walldorf["timestamp"] <- align.time(69190_Walldorf$sunrise, 60*10)
69190_Walldorf <- 69190_Walldorf[c("timestamp", "sr", "ss")]
locsrss <- ggplot(69190_Walldorf, aes(x=69190_Walldorf$timestamp)) + geom_line(aes(y=69190_Walldorf$sr)) + geom_line(aes(y=69190_Walldorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 69190_Walldorf 2024", x = "Datum", y = "Zeit")
pdf("69190_Walldorf_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="69190_Walldorf_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
69190_Walldorf["Sonnenaufgang"] <- strftime(69190_Walldorf$sr, format="%H:%M")
69190_Walldorf["Sonnenuntergang"] <- strftime(69190_Walldorf$ss, format="%H:%M")
write.table(69190_Walldorf, file="69190_Walldorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)