library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
86854_Amberg <- sunrise.set(48.0609613,10.6816354, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 86854_Amberg$sunrise
sunset <- 86854_Amberg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
86854_Amberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
86854_Amberg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
86854_Amberg["timestamp"] <- align.time(86854_Amberg$sunrise, 60*10)
86854_Amberg <- 86854_Amberg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(86854_Amberg, aes(x=86854_Amberg$timestamp)) + geom_line(aes(y=86854_Amberg$sr)) + geom_line(aes(y=86854_Amberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 86854_Amberg 2024", x = "Datum", y = "Zeit")
pdf("86854_Amberg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="86854_Amberg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
86854_Amberg["Sonnenaufgang"] <- strftime(86854_Amberg$sr, format="%H:%M")
86854_Amberg["Sonnenuntergang"] <- strftime(86854_Amberg$ss, format="%H:%M")
write.table(86854_Amberg, file="86854_Amberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)