library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
68199_Neckarau <- sunrise.set(49.4542902,8.49061180000001, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 68199_Neckarau$sunrise
sunset <- 68199_Neckarau$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
68199_Neckarau["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
68199_Neckarau["ss"] <- as.POSIXct(sunset, format = "%H:%M")
68199_Neckarau["timestamp"] <- align.time(68199_Neckarau$sunrise, 60*10)
68199_Neckarau <- 68199_Neckarau[c("timestamp", "sr", "ss")]
locsrss <- ggplot(68199_Neckarau, aes(x=68199_Neckarau$timestamp)) + geom_line(aes(y=68199_Neckarau$sr)) + geom_line(aes(y=68199_Neckarau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 68199_Neckarau 2023", x = "Datum", y = "Zeit")
pdf("68199_Neckarau_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="68199_Neckarau_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
68199_Neckarau["Sonnenaufgang"] <- strftime(68199_Neckarau$sr, format="%H:%M")
68199_Neckarau["Sonnenuntergang"] <- strftime(68199_Neckarau$ss, format="%H:%M")
write.table(68199_Neckarau, file="68199_Neckarau_SaSu.csv", dec=',', sep=';', row.names=FALSE)