library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
14715_Wassersuppe <- sunrise.set(52.671489,12.378124, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 14715_Wassersuppe$sunrise
sunset <- 14715_Wassersuppe$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
14715_Wassersuppe["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
14715_Wassersuppe["ss"] <- as.POSIXct(sunset, format = "%H:%M")
14715_Wassersuppe["timestamp"] <- align.time(14715_Wassersuppe$sunrise, 60*10)
14715_Wassersuppe <- 14715_Wassersuppe[c("timestamp", "sr", "ss")]
locsrss <- ggplot(14715_Wassersuppe, aes(x=14715_Wassersuppe$timestamp)) + geom_line(aes(y=14715_Wassersuppe$sr)) + geom_line(aes(y=14715_Wassersuppe$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 14715_Wassersuppe 2024", x = "Datum", y = "Zeit")
pdf("14715_Wassersuppe_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="14715_Wassersuppe_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
14715_Wassersuppe["Sonnenaufgang"] <- strftime(14715_Wassersuppe$sr, format="%H:%M")
14715_Wassersuppe["Sonnenuntergang"] <- strftime(14715_Wassersuppe$ss, format="%H:%M")
write.table(14715_Wassersuppe, file="14715_Wassersuppe_SaSu.csv", dec=',', sep=';', row.names=FALSE)