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graphing_making.R
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library(data.table)
library(tidyverse)
setwd("/Volumes/jt/margulis/volume_results/")
files <- list.files(pattern = ".csv")
filelist <-mixedsort(sort(files)) #sort in correct order
print(filelist)
#read in lists of matrixes
system.time(yearly_df_list <- lapply(filelist, function(x) fread(x, header=T)))
#pull out single matrix
results<-as.data.frame(yearly_df_list[[3]])
#full measn
mean<-rowMeans(results[-1], na.rm = TRUE)
results_2<-cbind(results,mean) #bind
#mean_06_16
mean_06_16 <- rowMeans(results[2:12], na.rm = TRUE)
mean_95_05 <- rowMeans(results[13:23], na.rm = TRUE)
mean_85_94 <- rowMeans(results[24:33], na.rm = TRUE)
sd<-apply(results[,2:33], 1, sd)
median<-apply(results[,2:33],1, median)
results_final <-cbind(results_2, mean_85_94, mean_95_05, mean_06_16, median, sd)
fwrite(results_final, "/Volumes/jt/margulis/volume_results/SNSR_year_compare.csv")
#######grey
#set theme first with this so you can edit it later
theme_set(theme_light(base_size =11))
y<-ggplot(results)+
geom_line(aes(doWY,WY2016),color="snow4") +
geom_line(aes(doWY,WY2014),color="snow4") +
geom_line(aes(doWY,WY2013),color="snow4") +
geom_line(aes(doWY,WY2012),color="snow4") +
geom_line(aes(doWY,WY2011),color="snow4") +
geom_line(aes(doWY,WY2010),color="snow4") +
geom_line(aes(doWY,WY2009),color="snow4") +
geom_line(aes(doWY,WY2008),color="snow4") +
geom_line(aes(doWY,WY2007),color="snow4") +
geom_line(aes(doWY,WY2006),color="snow4") +
geom_line(aes(doWY,WY2005),color="snow4") +
geom_line(aes(doWY,WY2004),color="snow4") +
geom_line(aes(doWY,WY2003),color="snow4") +
geom_line(aes(doWY,WY2002),color="snow4") +
geom_line(aes(doWY,WY2001),color="snow4") +
geom_line(aes(doWY,WY2000),color="snow4") +
geom_line(aes(doWY,WY1999),color="snow4") +
geom_line(aes(doWY,WY1998),color="snow4") +
geom_line(aes(doWY,WY1997),color="snow4") +
geom_line(aes(doWY,WY1996),color="snow4") +
geom_line(aes(doWY,WY1995),color="snow4") +
geom_line(aes(doWY,WY1994),color="snow4") +
geom_line(aes(doWY,WY1992),color="snow4") +
geom_line(aes(doWY,WY1991),color="snow4") +
geom_line(aes(doWY,WY1990),color="snow4") +
geom_line(aes(doWY,WY1995),color="snow4") +
geom_line(aes(doWY,WY1989),color="snow4") +
geom_line(aes(doWY,WY1988),color="snow4") +
geom_line(aes(doWY,WY1987),color="snow4") +
geom_line(aes(doWY,WY1986),color="snow4") +
geom_line(aes(doWY,WY1985),color="snow4") +
geom_line(aes(doWY,mean_06_16,color="06-16 Mean"),size = .5) +
geom_line(aes(doWY,mean_95_05,color="95-05 Mean"),size = .5) +
geom_line(aes(doWY,mean_85_94,color="85-94 Mean"),size = .5) +
geom_line(aes(doWY,WY2015,color="2015 (Min)"),size = .9) +
geom_line(aes(doWY,WY2015,color="2015 (Min)"),size = .9) +
geom_line(aes(doWY,WY1993,color="1993 (Max)"), size = .9) +
geom_line(aes(doWY,mean, color = "Mean"), size = 1.3) +
geom_line(aes(doWY,median, color = "Median"), size = 1.3) +
scale_colour_manual(values=c(Mean="black",'2015 (Min)'="red",'1993 (Max)'="darkblue",
'06-16 Mean' = "green", '95-05 Mean' = "yellow",
Median = "cyan",'85-94 Mean' = "purple"))+
scale_x_continuous(breaks = seq(0,366,50)) +
scale_y_continuous(breaks = seq(0,40,2)) +
labs(title="CA Sierra Nevada Volumetric SWE (1985-2016)",
y=(expression('Volumetric SWE'~(km^{"3"}))), x="Day of Water Year", color = "Water Year") +
theme(
legend.direction = "vertical",
legend.position = c(.85,.75),
legend.key = element_rect(size = 10),
legend.key.size = unit(.5, 'lines'))
print(y)
y<-ggplot(results, aes(x= doWY, y= mean))+
geom_ribbon(aes(ymin = mean-(sd), ymax = mean+(sd)), alpha=.3)+
geom_line(aes(doWY,mean_06_16,color="06-16 Mean"),size = .9) +
geom_line(aes(doWY,mean_95_05,color="95-05 Mean"),size = .9) +
geom_line(aes(doWY,mean_85_94,color="85-94 Mean"),size = .9) +
geom_line(aes(doWY,WY2015,color="2015 (Min)"),size = .9, linetype = "dashed") +
geom_line(aes(doWY,WY1993,color="1993 (Max)"), size = .9, linetype = "dashed") +
geom_line(aes(doWY,median,color="Median"), size = .9) +
geom_line(aes(doWY,mean, color = "Mean"), size = 1.3) +
scale_colour_manual(values=c(Mean="black",'2015 (Min)'="red",'1993 (Max)'="darkblue",
'06-16 Mean' = "turquoise3", '95-05 Mean' = "darkseagreen1",
Median = "grey45", '85-94 Mean' = "deeppink3"))+
scale_x_continuous(breaks = seq(0,366,50)) +
scale_y_continuous(breaks = seq(0,40,2)) +
labs(title="CA Sierra Nevada Volumetric SWE (1985-2016)",
y=(expression('Volumetric SWE'~(km^{"3"}))), x="Day of Water Year", color = "Water Year") +
theme(
legend.direction = "vertical",
legend.position = c(.85,.75),
legend.key = element_rect(size = 10),
legend.key.size = unit(.5, 'lines'))
print(y)
####max value test in 1993 (30ish km^3)
#read in lists of matrixes
dowy_155<-as.matrix(fread("/Volumes/john_tarricone/UNR_summer_20/margulis/swe/daily_data/WY_1993/c2/swe_1993_doWY_155.txt", header=T))
#try for 155th doWY 1993
max_rast <- raster(dowy_155, xmn=-123.3, xmx=-117.6, ymn=35.4, ymx=42,) #set lat lon cords
crs(max_rast) <- "+proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defs"
max_rast #inspect raster
image(max_rast) #print raster
writeRaster(max_rast, "/Volumes/john_tarricone/UNR_summer_20/margulis/volume_results/plots/max3.tif")
#2014 max doWY
max_14<-results %>%
dplyr::select(c(WY_2014, doWY)) %>%
slice(which.max(WY_2014))
#2009 max doWY
max_09<-results %>%
dplyr::select(c(WY_2009, doWY)) %>%
slice(which.max(WY_2009))
#2005 max doWY
max_05<-results %>%
dplyr::select(c(WY_2005, doWY)) %>%
slice(which.max(WY_2005))
max<-cbind(max_14,max_09,max_05)
april_1<-results %>% filter(doWY == 182) %>% dplyr::select(c(doWY, WY_2014, WY_2009, WY_2005))
#######color
#set theme first with this so you can edit it later
theme_set(theme_light(base_size =11))
y<-ggplot(results)+
geom_line(aes(doWY,WY_2016,color="2016")) +
geom_line(aes(doWY,WY_2015,color="2015")) +
geom_line(aes(doWY,WY_2014,color="2014")) +
geom_line(aes(doWY,WY_2013,color="2013")) +
geom_line(aes(doWY,WY_2012,color="2012")) +
geom_line(aes(doWY,WY_2011,color="2011"))+
geom_line(aes(doWY,WY_2010,color="2010")) +
geom_line(aes(doWY,WY_2009,color="2009")) +
geom_line(aes(doWY,WY_2008,color="2008")) +
geom_line(aes(doWY,WY_2007,color="2007")) +
geom_line(aes(doWY,WY_2006,color="2006")) +
geom_line(aes(doWY,WY_2005,color="2005")) +
geom_line(aes(doWY,WY_2004,color="2004")) +
geom_line(aes(doWY,WY_2003,color="2003")) +
geom_line(aes(doWY,WY_2002,color="2002")) +
geom_line(aes(doWY,WY_2001,color="2001")) +
geom_line(aes(doWY,mean, color = "Mean"), size = 1.5) +
scale_colour_manual(values=c(Mean="black",'2016' ="coral3",'2015'="brown4",
'2014'="darkviolet",'2013'="darkslategray1",'2012'="darkseagreen1",
'2011'="deeppink3",'2010'="pink",'2009'="yellow",
'2008'="lawngreen",'2007'="tomato",'2006'="tan",
'2005'="lightblue",'2006'="darkblue",'2005'="red3",
'2004'="snow4",'2003'="darkcyan",'2002'="darkred",
'2001'="deepskyblue"))+
scale_x_continuous(breaks = seq(0,366,50)) +
scale_y_continuous(breaks = seq(0,30,2)) +
labs(title="CA Sierra Nevada Volumetric SWE (2016-2001)",
y=(expression('Volumetric SWE'~(km^{"3"}))), x="Day of Water Year", color = "Water Year") +
theme(
legend.direction = "vertical",
legend.position = c(.85,.75),
legend.key = element_rect(size = 10),
legend.key.size = unit(.5, 'lines'))
print(y)