library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
37115_Duderstadt <- sunrise.set(51.5125806,10.2644391, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 37115_Duderstadt$sunrise
sunset <- 37115_Duderstadt$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
37115_Duderstadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
37115_Duderstadt["ss"] <- as.POSIXct(sunset, format = "%H:%M")
37115_Duderstadt["timestamp"] <- align.time(37115_Duderstadt$sunrise, 60*10)
37115_Duderstadt <- 37115_Duderstadt[c("timestamp", "sr", "ss")]
locsrss <- ggplot(37115_Duderstadt, aes(x=37115_Duderstadt$timestamp)) + geom_line(aes(y=37115_Duderstadt$sr)) + geom_line(aes(y=37115_Duderstadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 37115_Duderstadt 2023", x = "Datum", y = "Zeit")
pdf("37115_Duderstadt_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="37115_Duderstadt_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
37115_Duderstadt["Sonnenaufgang"] <- strftime(37115_Duderstadt$sr, format="%H:%M")
37115_Duderstadt["Sonnenuntergang"] <- strftime(37115_Duderstadt$ss, format="%H:%M")
write.table(37115_Duderstadt, file="37115_Duderstadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)