library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Bad_Suderode_ <- sunrise.set(51.729126,11.1207775, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Bad_Suderode_$sunrise
sunset <- Bad_Suderode_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Bad_Suderode_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Bad_Suderode_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Bad_Suderode_["timestamp"] <- align.time(Bad_Suderode_$sunrise, 60*10)
Bad_Suderode_ <- Bad_Suderode_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Bad_Suderode_, aes(x=Bad_Suderode_$timestamp)) + geom_line(aes(y=Bad_Suderode_$sr)) + geom_line(aes(y=Bad_Suderode_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bad_Suderode_ 2024", x = "Datum", y = "Zeit")
pdf("Bad_Suderode__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Bad_Suderode__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Bad_Suderode_["Sonnenaufgang"] <- strftime(Bad_Suderode_$sr, format="%H:%M")
Bad_Suderode_["Sonnenuntergang"] <- strftime(Bad_Suderode_$ss, format="%H:%M")
write.table(Bad_Suderode_, file="Bad_Suderode__SaSu.csv", dec=',', sep=';', row.names=FALSE)