library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
31008_Sehlde <- sunrise.set(52.0970956,9.694569399999977, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 31008_Sehlde$sunrise
sunset <- 31008_Sehlde$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
31008_Sehlde["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
31008_Sehlde["ss"] <- as.POSIXct(sunset, format = "%H:%M")
31008_Sehlde["timestamp"] <- align.time(31008_Sehlde$sunrise, 60*10)
31008_Sehlde <- 31008_Sehlde[c("timestamp", "sr", "ss")]
locsrss <- ggplot(31008_Sehlde, aes(x=31008_Sehlde$timestamp)) + geom_line(aes(y=31008_Sehlde$sr)) + geom_line(aes(y=31008_Sehlde$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 31008_Sehlde 2024", x = "Datum", y = "Zeit")
pdf("31008_Sehlde_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="31008_Sehlde_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
31008_Sehlde["Sonnenaufgang"] <- strftime(31008_Sehlde$sr, format="%H:%M")
31008_Sehlde["Sonnenuntergang"] <- strftime(31008_Sehlde$ss, format="%H:%M")
write.table(31008_Sehlde, file="31008_Sehlde_SaSu.csv", dec=',', sep=';', row.names=FALSE)