library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
44625_Herne <- sunrise.set(51.5279591,7.210459000000014, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 44625_Herne$sunrise
sunset <- 44625_Herne$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
44625_Herne["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
44625_Herne["ss"] <- as.POSIXct(sunset, format = "%H:%M")
44625_Herne["timestamp"] <- align.time(44625_Herne$sunrise, 60*10)
44625_Herne <- 44625_Herne[c("timestamp", "sr", "ss")]
locsrss <- ggplot(44625_Herne, aes(x=44625_Herne$timestamp)) + geom_line(aes(y=44625_Herne$sr)) + geom_line(aes(y=44625_Herne$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44625_Herne 2024", x = "Datum", y = "Zeit")
pdf("44625_Herne_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="44625_Herne_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
44625_Herne["Sonnenaufgang"] <- strftime(44625_Herne$sr, format="%H:%M")
44625_Herne["Sonnenuntergang"] <- strftime(44625_Herne$ss, format="%H:%M")
write.table(44625_Herne, file="44625_Herne_SaSu.csv", dec=',', sep=';', row.names=FALSE)