library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Everswinkel <- sunrise.set(51.9246665,7.848896400000058, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Everswinkel$sunrise
sunset <- Everswinkel$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Everswinkel["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Everswinkel["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Everswinkel["timestamp"] <- align.time(Everswinkel$sunrise, 60*10)
Everswinkel <- Everswinkel[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Everswinkel, aes(x=Everswinkel$timestamp)) + geom_line(aes(y=Everswinkel$sr)) + geom_line(aes(y=Everswinkel$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Everswinkel 2024", x = "Datum", y = "Zeit")
pdf("Everswinkel_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Everswinkel_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Everswinkel["Sonnenaufgang"] <- strftime(Everswinkel$sr, format="%H:%M")
Everswinkel["Sonnenuntergang"] <- strftime(Everswinkel$ss, format="%H:%M")
write.table(Everswinkel, file="Everswinkel_SaSu.csv", dec=',', sep=';', row.names=FALSE)