library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
65428_R��sselsheim <- sunrise.set(49.9887497,8.4216976, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 65428_R��sselsheim$sunrise
sunset <- 65428_R��sselsheim$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
65428_R��sselsheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
65428_R��sselsheim["ss"] <- as.POSIXct(sunset, format = "%H:%M")
65428_R��sselsheim["timestamp"] <- align.time(65428_R��sselsheim$sunrise, 60*10)
65428_R��sselsheim <- 65428_R��sselsheim[c("timestamp", "sr", "ss")]
locsrss <- ggplot(65428_R��sselsheim, aes(x=65428_R��sselsheim$timestamp)) + geom_line(aes(y=65428_R��sselsheim$sr)) + geom_line(aes(y=65428_R��sselsheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 65428_R��sselsheim 2023", x = "Datum", y = "Zeit")
pdf("65428_R��sselsheim_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="65428_R��sselsheim_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
65428_R��sselsheim["Sonnenaufgang"] <- strftime(65428_R��sselsheim$sr, format="%H:%M")
65428_R��sselsheim["Sonnenuntergang"] <- strftime(65428_R��sselsheim$ss, format="%H:%M")
write.table(65428_R��sselsheim, file="65428_R��sselsheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)