library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
19053_Schwerin <- sunrise.set(53.61511208518918,11.563114969946355, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 19053_Schwerin$sunrise
sunset <- 19053_Schwerin$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
19053_Schwerin["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
19053_Schwerin["ss"] <- as.POSIXct(sunset, format = "%H:%M")
19053_Schwerin["timestamp"] <- align.time(19053_Schwerin$sunrise, 60*10)
19053_Schwerin <- 19053_Schwerin[c("timestamp", "sr", "ss")]
locsrss <- ggplot(19053_Schwerin, aes(x=19053_Schwerin$timestamp)) + geom_line(aes(y=19053_Schwerin$sr)) + geom_line(aes(y=19053_Schwerin$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 19053_Schwerin 2024", x = "Datum", y = "Zeit")
pdf("19053_Schwerin_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="19053_Schwerin_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
19053_Schwerin["Sonnenaufgang"] <- strftime(19053_Schwerin$sr, format="%H:%M")
19053_Schwerin["Sonnenuntergang"] <- strftime(19053_Schwerin$ss, format="%H:%M")
write.table(19053_Schwerin, file="19053_Schwerin_SaSu.csv", dec=',', sep=';', row.names=FALSE)