library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
63589_Linsengericht <- sunrise.set(50.180369,9.229002699999999, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 63589_Linsengericht$sunrise
sunset <- 63589_Linsengericht$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
63589_Linsengericht["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
63589_Linsengericht["ss"] <- as.POSIXct(sunset, format = "%H:%M")
63589_Linsengericht["timestamp"] <- align.time(63589_Linsengericht$sunrise, 60*10)
63589_Linsengericht <- 63589_Linsengericht[c("timestamp", "sr", "ss")]
locsrss <- ggplot(63589_Linsengericht, aes(x=63589_Linsengericht$timestamp)) + geom_line(aes(y=63589_Linsengericht$sr)) + geom_line(aes(y=63589_Linsengericht$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 63589_Linsengericht 2024", x = "Datum", y = "Zeit")
pdf("63589_Linsengericht_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="63589_Linsengericht_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
63589_Linsengericht["Sonnenaufgang"] <- strftime(63589_Linsengericht$sr, format="%H:%M")
63589_Linsengericht["Sonnenuntergang"] <- strftime(63589_Linsengericht$ss, format="%H:%M")
write.table(63589_Linsengericht, file="63589_Linsengericht_SaSu.csv", dec=',', sep=';', row.names=FALSE)