library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
75245_Neulingen <- sunrise.set(48.9703747,8.7117688, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 75245_Neulingen$sunrise
sunset <- 75245_Neulingen$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
75245_Neulingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
75245_Neulingen["ss"] <- as.POSIXct(sunset, format = "%H:%M")
75245_Neulingen["timestamp"] <- align.time(75245_Neulingen$sunrise, 60*10)
75245_Neulingen <- 75245_Neulingen[c("timestamp", "sr", "ss")]
locsrss <- ggplot(75245_Neulingen, aes(x=75245_Neulingen$timestamp)) + geom_line(aes(y=75245_Neulingen$sr)) + geom_line(aes(y=75245_Neulingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 75245_Neulingen 2024", x = "Datum", y = "Zeit")
pdf("75245_Neulingen_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="75245_Neulingen_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
75245_Neulingen["Sonnenaufgang"] <- strftime(75245_Neulingen$sr, format="%H:%M")
75245_Neulingen["Sonnenuntergang"] <- strftime(75245_Neulingen$ss, format="%H:%M")
write.table(75245_Neulingen, file="75245_Neulingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)