library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
FI_Savonlinna <- sunrise.set(61.8699291,28.8800538, "2024/01/01", timezone="MET", num.days=370)
sunrise <- FI_Savonlinna$sunrise
sunset <- FI_Savonlinna$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
FI_Savonlinna["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
FI_Savonlinna["ss"] <- as.POSIXct(sunset, format = "%H:%M")
FI_Savonlinna["timestamp"] <- align.time(FI_Savonlinna$sunrise, 60*10)
FI_Savonlinna <- FI_Savonlinna[c("timestamp", "sr", "ss")]
locsrss <- ggplot(FI_Savonlinna, aes(x=FI_Savonlinna$timestamp)) + geom_line(aes(y=FI_Savonlinna$sr)) + geom_line(aes(y=FI_Savonlinna$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - FI_Savonlinna 2024", x = "Datum", y = "Zeit")
pdf("FI_Savonlinna_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="FI_Savonlinna_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
FI_Savonlinna["Sonnenaufgang"] <- strftime(FI_Savonlinna$sr, format="%H:%M")
FI_Savonlinna["Sonnenuntergang"] <- strftime(FI_Savonlinna$ss, format="%H:%M")
write.table(FI_Savonlinna, file="FI_Savonlinna_SaSu.csv", dec=',', sep=';', row.names=FALSE)