library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
68159_Mannheim <- sunrise.set(49.49200020000001,8.455678000000034, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 68159_Mannheim$sunrise
sunset <- 68159_Mannheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
68159_Mannheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
68159_Mannheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
68159_Mannheim["timestamp"] <- align.time(68159_Mannheim$sunrise, 60*10)
68159_Mannheim <- 68159_Mannheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(68159_Mannheim, aes(x=68159_Mannheim$timestamp)) + geom_line(aes(y=68159_Mannheim$sr)) + geom_line(aes(y=68159_Mannheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 68159_Mannheim 2024", x = "Datum", y = "Zeit")
pdf("68159_Mannheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="68159_Mannheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
68159_Mannheim["Sonnenaufgang"] <- strftime(68159_Mannheim$sr, format="%H:%M")
68159_Mannheim["Sonnenuntergang"] <- strftime(68159_Mannheim$ss, format="%H:%M")
write.table(68159_Mannheim, file="68159_Mannheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)