library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
69256_Mauer <- sunrise.set(49.273363398220894,8.886394399547271, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 69256_Mauer$sunrise
sunset <- 69256_Mauer$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
69256_Mauer["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
69256_Mauer["ss"] <- as.POSIXct(sunset, format = "%H:%M")
69256_Mauer["timestamp"] <- align.time(69256_Mauer$sunrise, 60*10)
69256_Mauer <- 69256_Mauer[c("timestamp", "sr", "ss")]
locsrss <- ggplot(69256_Mauer, aes(x=69256_Mauer$timestamp)) + geom_line(aes(y=69256_Mauer$sr)) + geom_line(aes(y=69256_Mauer$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 69256_Mauer 2024", x = "Datum", y = "Zeit")
pdf("69256_Mauer_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="69256_Mauer_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
69256_Mauer["Sonnenaufgang"] <- strftime(69256_Mauer$sr, format="%H:%M")
69256_Mauer["Sonnenuntergang"] <- strftime(69256_Mauer$ss, format="%H:%M")
write.table(69256_Mauer, file="69256_Mauer_SaSu.csv", dec=',', sep=';', row.names=FALSE)