library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
31559_hohnhorst <- sunrise.set(52.3744471387013,9.371987199999987, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 31559_hohnhorst$sunrise
sunset <- 31559_hohnhorst$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
31559_hohnhorst["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
31559_hohnhorst["ss"] <- as.POSIXct(sunset, format = "%H:%M")
31559_hohnhorst["timestamp"] <- align.time(31559_hohnhorst$sunrise, 60*10)
31559_hohnhorst <- 31559_hohnhorst[c("timestamp", "sr", "ss")]
locsrss <- ggplot(31559_hohnhorst, aes(x=31559_hohnhorst$timestamp)) + geom_line(aes(y=31559_hohnhorst$sr)) + geom_line(aes(y=31559_hohnhorst$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 31559_hohnhorst 2023", x = "Datum", y = "Zeit")
pdf("31559_hohnhorst_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="31559_hohnhorst_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
31559_hohnhorst["Sonnenaufgang"] <- strftime(31559_hohnhorst$sr, format="%H:%M")
31559_hohnhorst["Sonnenuntergang"] <- strftime(31559_hohnhorst$ss, format="%H:%M")
write.table(31559_hohnhorst, file="31559_hohnhorst_SaSu.csv", dec=',', sep=';', row.names=FALSE)