library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
38170 <- sunrise.set(52.1435637,10.8005916, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 38170$sunrise
sunset <- 38170$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
38170["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
38170["ss"] <- as.POSIXct(sunset, format = "%H:%M")
38170["timestamp"] <- align.time(38170$sunrise, 60*10)
38170 <- 38170[c("timestamp", "sr", "ss")]
locsrss <- ggplot(38170, aes(x=38170$timestamp)) + geom_line(aes(y=38170$sr)) + geom_line(aes(y=38170$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 38170 2024", x = "Datum", y = "Zeit")
pdf("38170_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="38170_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
38170["Sonnenaufgang"] <- strftime(38170$sr, format="%H:%M")
38170["Sonnenuntergang"] <- strftime(38170$ss, format="%H:%M")
write.table(38170, file="38170_SaSu.csv", dec=',', sep=';', row.names=FALSE)