library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
38229 <- sunrise.set(52.107989,10.364097600000036, "2021/01/01", timezone="MET", num.days=370)
sunrise <- 38229$sunrise
sunset <- 38229$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
38229["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
38229["ss"] <- as.POSIXct(sunset, format = "%H:%M")
38229["timestamp"] <- align.time(38229$sunrise, 60*10)
38229 <- 38229[c("timestamp", "sr", "ss")]
locsrss <- ggplot(38229, aes(x=38229$timestamp)) + geom_line(aes(y=38229$sr)) + geom_line(aes(y=38229$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 38229 2021", x = "Datum", y = "Zeit")
pdf("38229_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="38229_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
38229["Sonnenaufgang"] <- strftime(38229$sr, format="%H:%M")
38229["Sonnenuntergang"] <- strftime(38229$ss, format="%H:%M")
write.table(38229, file="38229_SaSu.csv", dec=',', sep=';', row.names=FALSE)