library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
38170_Ampleben <- sunrise.set(52.17685690952854,10.745979600219698, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 38170_Ampleben$sunrise
sunset <- 38170_Ampleben$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
38170_Ampleben["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
38170_Ampleben["ss"] <- as.POSIXct(sunset, format = "%H:%M")
38170_Ampleben["timestamp"] <- align.time(38170_Ampleben$sunrise, 60*10)
38170_Ampleben <- 38170_Ampleben[c("timestamp", "sr", "ss")]
locsrss <- ggplot(38170_Ampleben, aes(x=38170_Ampleben$timestamp)) + geom_line(aes(y=38170_Ampleben$sr)) + geom_line(aes(y=38170_Ampleben$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 38170_Ampleben 2024", x = "Datum", y = "Zeit")
pdf("38170_Ampleben_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="38170_Ampleben_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
38170_Ampleben["Sonnenaufgang"] <- strftime(38170_Ampleben$sr, format="%H:%M")
38170_Ampleben["Sonnenuntergang"] <- strftime(38170_Ampleben$ss, format="%H:%M")
write.table(38170_Ampleben, file="38170_Ampleben_SaSu.csv", dec=',', sep=';', row.names=FALSE)