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ReportPlots.R
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ReportPlots.R
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dat <- read.csv("ForestDataFuzzed.csv")
str(dat)
library(rgdal)
library(gridExtra)
alb.xy <- project(with(dat,cbind(lon_fuzzed,lat_fuzzed)),
"+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs")
colnames(alb.xy) <- c("x","y")
dat <- cbind(alb.xy,dat)
# Plot total volume, a potential response variable of interest.
library(ggplot2)
ggplot(dat, aes(x=x/1000,y=y/1000,color=totvol)) +
geom_point(size=2) +
geom_point(stroke=1,
shape = 21,
color = "black"
) +
scale_color_gradient(low = "white", high = "#013d09") +
scale_x_continuous(breaks = round(seq(-2150, -2000, by = 50),2)) +
labs(
title = "Total Timber Volume in Sampled Plots",
subtitle = "Northwest Oregon",
x = "X (kilometers)",
y = "Y (kilometers)",
color = "Total Volume"
) +
theme(
axis.text.x=element_text(angle=90,hjust=1),
panel.background = element_rect(fill = 'white'),
panel.grid = element_line(color = "grey", size = .1),
plot.caption = element_text(hjust = 0, face = "italic")
)
ggplot(dat, aes(x=x/1000,y=y/1000)) +
geom_point(mapping = aes(color = totvol),
size=2) +
geom_point(stroke=1,
shape = 21,
color = "black"
) +
scale_color_gradient(low = "white", high = "#013d09") +
scale_x_continuous(breaks = round(seq(-2150, -2000, by = 50),2)) +
labs(
title = "Total Timber Volume in Sampled Plots",
subtitle = "Northwest Oregon",
x = "X (kilometers)",
y = "Y (kilometers)",
color = "Total Volume"
) +
theme(
axis.text.x=element_text(angle=90,hjust=1),
panel.background = element_rect(fill = 'white'),
panel.grid = element_line(color = "grey", size = .1),
plot.caption = element_text(hjust = 0, face = "italic")
) -> g1
ggplot(dat, aes(x=x/1000,y=y/1000)) +
geom_point(mapping = aes(color = annpre),
size=2) +
geom_point(stroke=1,
shape = 21,
color = "black"
) +
scale_color_gradient(low = "white", high = "#013d09") +
scale_x_continuous(breaks = round(seq(-2150, -2000, by = 50),2)) +
labs(
title = "Annual Precipitation in Sampled Plots",
subtitle = "Northwest Oregon",
x = "X (kilometers)",
y = "Y (kilometers)",
color = "Total Volume"
) +
theme(
axis.text.x=element_text(angle=90,hjust=1),
panel.background = element_rect(fill = 'white'),
panel.grid = element_line(color = "grey", size = .1),
plot.caption = element_text(hjust = 0, face = "italic")
) -> g2
grid.arrange(g1, g2, nrow =1)
ggplot(dat, aes(x = totvol)) +
geom_histogram(fill = "#49ad57", color = "black",
bins = 20) +
labs(
title = "Total Volume",
x = element_blank(),
y = "Number of Plots"
) +
theme(
panel.background = element_rect(fill = 'white'),
panel.grid = element_line(color = "grey", size = .1)
) -> g1
ggplot(dat, aes(x = totbiom)) +
geom_histogram(fill = "#49ad57", color = "black",
bins = 20) +
labs(
title = "Total Biomass",
x = element_blank(),
y = "Number of Plots"
) +
theme(
panel.background = element_rect(fill = 'white'),
panel.grid = element_line(color = "grey", size = .1)
) -> g2
ggplot(dat, aes(x = numtree)) +
geom_histogram(fill = "#49ad57", color = "black",
bins = 20) +
labs(
title = "Number of Trees",
x = element_blank(),
y = "Number of Plots"
) +
theme(
panel.background = element_rect(fill = 'white'),
panel.grid = element_line(color = "grey", size = .1)
) -> g3
ggplot(dat, aes(x = psmevol)) +
geom_histogram(fill = "#49ad57", color = "black",
bins = 20) +
labs(
title = "PSME Volume",
x = element_blank(),
y = "Number of Plots"
) +
theme(
panel.background = element_rect(fill = 'white'),
panel.grid = element_line(color = "grey", size = .1)
) -> g4
grid.arrange(g1, g2, g3, g4, ncol = 2)
# Explore some covariates
str(dat)
hist(dat$annpre)
hist(dat$anntmp)
hist(dat$tc3)
hist(dat$tc3for)
plot(dat$tc3, dat$annpre)
pairs(totvol ~ tc3 + annpre + anntmp + ndvi,
data = dat,
upper.panel = NULL)
pairs(numtree ~ tc3 + annpre + anntmp + ndvi,
data = dat,
upper.panel = NULL)
pairs(totvol ~ tc3 + annpre + anntmp + ndvi,
data = dat,
upper.panel = NULL)
ggplot(dat, aes(x=x/1000,y=y/1000,color=totvol)) +
geom_point(size=2) +
scale_color_gradient(low = "#c5e3ca", high = "#013d09") +
scale_x_continuous(breaks = round(seq(-2150, -2000, by = 50),2)) +
labs(
title = "Total Timber Volume in Sampled Plots",
subtitle = "Northwest Oregon",
caption = "Alber's Equal Area Projection used here",
x = "X (kilometers)",
y = "Y (kilometers)",
color = "Total Volume"
) +
theme(
axis.text.x=element_text(angle=90,hjust=1),
panel.background = element_rect(fill = 'white'),
panel.grid = element_line(color = "grey", size = .1)
)