Wednesday, March 25, 2015

Just some code- species accumulation curves

SPECIES ACCUMULATION CURVE OF MEXICO AND PUERTO RICO (SHADE AND BIOMASS)

LOADING DATA

data <- read.csv("http://www.personal.psu.edu/dkp5177/PUERTORICO.SHADE.LONGDAT.csv", header=TRUE, na.strings = NA)
biomass.pr.data <- read.csv("http://www.personal.psu.edu/dkp5177/PUERTORICO.BIOMASS.LONGDAT.csv", header=TRUE, na.strings = NA)
shade.mex.data <-  read.csv("http://www.personal.psu.edu/dkp5177/MEXICO.SHADE.LONGDAT.csv", header=TRUE, na.strings = NA)
biomass.mex.data <- read.csv("http://www.personal.psu.edu/dkp5177/MEXICO.BIOMASS.LONGDAT.csv", header=TRUE, na.strings = NA)
require(ggplot2)
## Loading required package: ggplot2

PUERTO RICO

SHADE (Samples)

Species Estimation vs. Samples (Low-shade farm (blue) and High-shade farm (red) with 95% Confidence Interval)
ggplot(data, aes(x = lspr.s, y = sest,ymin = sest.lb,ymax = sest.ub, group = factor(id.low))) + 
  geom_line(aes(colour = factor(id.low)),size = 0.5) + 
  geom_ribbon(aes(fill = factor(id.low)), alpha = 0.25)+ 
  ylab(label="Species Estimated") + 
  xlab(label = "Samples") + 
  ggtitle("Estimated Species versus Sample \n Shade in Puerto Rican farms")+
  theme(
    panel.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    axis.line = element_line(colour = "black", 
                      size = 0.05, linetype = "solid")) +
  theme(axis.text=element_text(size=14),
        axis.title=element_text(size=17),
       plot.title = element_text(size = 20, lineheight=.8, face="bold"))+
scale_colour_manual("Shade", breaks=c("1","2"),
                     labels = c("Low Shade","High Shade"),
                     values = c("1" = "blue","2" = "firebrick4"))+
scale_fill_manual(guide = FALSE,values=c("1"="navyblue","2"="red"))

SHADE(Individuals)

Species Estimation vs. Individuals (Low-shade farm(blue) and High-shade farm (red) with 95% Confidence Interval)
ggplot(data, aes(x = individuals, y = sest,ymin = sest.lb,ymax = sest.ub, group = factor(id.low))) + 
  geom_line(aes(colour = factor(id.low)),size = 0.5) + 
  geom_ribbon(aes(fill = factor(id.low)), alpha = 0.25)+ 
  ylab(label="Species Estimated") + 
  xlab(label = "Samples") + 
  ggtitle("Estimated Species versus Individuals \n Shade in Puerto Rican farms")+
  theme(
    panel.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    axis.line = element_line(colour = "black", 
                      size = 0.05, linetype = "solid")) +
  theme(axis.text=element_text(size=14),
        axis.title=element_text(size=17),
       plot.title = element_text(size = 20, lineheight=.8, face="bold"))+
scale_colour_manual("Shade", breaks=c("1","2"),
                     labels = c("Low Shade","High Shade"),
                     values = c("1" = "blue","2" = "firebrick4"))+
scale_fill_manual(guide = FALSE,values=c("1"="navyblue","2"="red"))

BIOMASS(Samples)

Species Estimation vs. Samples (Low-biomass farm (blue) and High-biomass farm (red) with 95% Confidence Interval)
ggplot(biomass.pr.data, aes(x = samples, y = sest,ymin = sest.lb,ymax = sest.ub, group = factor(id.biomass.pr))) + 
  geom_line(aes(colour = factor(id.biomass.pr)),size = 0.5) + 
  geom_ribbon(aes(fill = factor(id.biomass.pr)), alpha = 0.25)+ 
  ylab(label="Species Estimated") + 
  xlab(label = "Samples") + 
  ggtitle("Estimated Species versus Sample \n Biomass in Puerto Rican farms")+
  theme(
    panel.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    axis.line = element_line(colour = "black", 
                      size = 0.05, linetype = "solid")) +
  theme(axis.text=element_text(size=14),
        axis.title=element_text(size=17),
       plot.title = element_text(size = 20, lineheight=.8, face="bold"))+
scale_colour_manual("Shade", breaks=c("1","2"),
                     labels = c("Low Biomass","High Biomass"),
                     values = c("1" = "blue","2" = "firebrick4"))+
scale_fill_manual(guide = FALSE,values=c("1"="navyblue","2"="red"))

BIOMASS(Individuals)

Species Estimation vs. Individuals (Low-Biomass farm(blue) and High-Biomass farm (red) with 95% Confidence Interval)
ggplot(biomass.pr.data, aes(x = individuals, y = sest,ymin = sest.lb,ymax = sest.ub, group = factor(id.biomass.pr))) + 
  geom_line(aes(colour = factor(id.biomass.pr)),size = 0.5) + 
  geom_ribbon(aes(fill = factor(id.biomass.pr)), alpha = 0.25)+ 
  ylab(label="Species Estimated") + 
  xlab(label = "Samples") + 
  ggtitle("Estimated Species versus Individuals \n Biomass in Puerto Rican farms")+
  theme(
    panel.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    axis.line = element_line(colour = "black", 
                      size = 0.05, linetype = "solid")) +
  theme(axis.text=element_text(size=14),
        axis.title=element_text(size=17),
       plot.title = element_text(size = 20, lineheight=.8, face="bold"))+
scale_colour_manual("Shade", breaks=c("1","2"),
                     labels = c("Low Biomass","High biomass"),
                     values = c("1" = "blue","2" = "firebrick4"))+
scale_fill_manual(guide = FALSE,values=c("1"="navyblue","2"="red"))

MEXICO

SHADE(Samples)

Species Estimation vs. Samples (Low-shade farm (blue) and High-shade farm (red) with 95% Confidence Interval)
ggplot(shade.mex.data, aes(x = Samples, y = Sest,ymin = sest.lb,ymax = sest.ub, group = factor(id.shade))) + 
  geom_line(aes(colour = factor(id.shade)),size = 0.5) + 
  geom_ribbon(aes(fill = factor(id.shade)), alpha = 0.25)+ 
  ylab(label="Species Estimated") + 
  xlab(label = "Samples") + 
  ggtitle("Estimated Species versus Sample \n Shade in Mexican farms")+
  theme(
    panel.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    axis.line = element_line(colour = "black", 
                      size = 0.05, linetype = "solid")) +
  theme(axis.text=element_text(size=14),
        axis.title=element_text(size=17),
       plot.title = element_text(size = 20, lineheight=.8, face="bold"))+
scale_colour_manual("Shade", breaks=c("1","2"),
                     labels = c("Low Shade","High Shade"),
                     values = c("1" = "blue","2" = "firebrick4"))+
scale_fill_manual(guide = FALSE,values=c("1"="navyblue","2"="red"))

SHADE(Individuals)

Species Estimation vs. Individuals (Low-shade farm(blue) and High-shade farm (red) with 95% Confidence Interval)
ggplot(shade.mex.data, aes(x = Individuals..computed., y = Sest,ymin = sest.lb,ymax = sest.ub, group = factor(id.shade))) + 
  geom_line(aes(colour = factor(id.shade)),size = 0.5) + 
  geom_ribbon(aes(fill = factor(id.shade)), alpha = 0.25)+ 
  ylab(label="Species Estimated") + 
  xlab(label = "Samples") + 
  ggtitle("Estimated Species versus Individuals \n Shade in Mexican farms")+
  theme(
    panel.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    axis.line = element_line(colour = "black", 
                      size = 0.05, linetype = "solid")) +
  theme(axis.text=element_text(size=14),
        axis.title=element_text(size=17),
       plot.title = element_text(size = 20, lineheight=.8, face="bold"))+
scale_colour_manual("Shade", breaks=c("1","2"),
                     labels = c("Low Shade","High Shade"),
                     values = c("1" = "blue","2" = "firebrick4"))+
scale_fill_manual(guide = FALSE,values=c("1"="navyblue","2"="red"))

BIOMASS(Samples)

Species Estimation vs. Samples (Low-biomass farm (blue) and High-biomass farm (red) with 95% Confidence Interval)
ggplot(biomass.mex.data, aes(x = Samples, y = sest,ymin = sest.lb,ymax = sest.ub, group = factor(id.biomass))) + 
  geom_line(aes(colour = factor(id.biomass)),size = 0.5) + 
  geom_ribbon(aes(fill = factor(id.biomass)), alpha = 0.25)+ 
  ylab(label="Species Estimated") + 
  xlab(label = "Samples") + 
  ggtitle("Estimated Species versus Sample \n Biomass in Mexican farms")+
  theme(
    panel.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    axis.line = element_line(colour = "black", 
                      size = 0.05, linetype = "solid")) +
  theme(axis.text=element_text(size=14),
        axis.title=element_text(size=17),
       plot.title = element_text(size = 20, lineheight=.8, face="bold"))+
scale_colour_manual("Shade", breaks=c("1","2"),
                     labels = c("Low Biomass","High Biomass"),
                     values = c("1" = "blue","2" = "firebrick4"))+
scale_fill_manual(guide = FALSE,values=c("1"="navyblue","2"="red"))

BIOMASS(Individuals)

Species Estimation vs. Individuals (Low-Biomass farm(blue) and High-Biomass farm (red) with 95% Confidence Interval)
ggplot(biomass.mex.data, aes(x = Individuals, y = sest,ymin = sest.lb,ymax = sest.ub, group = factor(id.biomass))) + 
  geom_line(aes(colour = factor(id.biomass)),size = 0.5) + 
  geom_ribbon(aes(fill = factor(id.biomass)), alpha = 0.25)+ 
  ylab(label="Species Estimated") + 
  xlab(label = "Samples") + 
  ggtitle("Estimated Species versus Individuals \n Biomass in Mexican farms")+
  theme(
    panel.background = element_blank(),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    axis.line = element_line(colour = "black", 
                      size = 0.05, linetype = "solid")) +
  theme(axis.text=element_text(size=14),
        axis.title=element_text(size=17),
       plot.title = element_text(size = 20, lineheight=.8, face="bold"))+
scale_colour_manual("Shade", breaks=c("1","2"),
                     labels = c("Low Biomass","High biomass"),
                     values = c("1" = "blue","2" = "firebrick4"))+
scale_fill_manual(guide = FALSE,values=c("1"="navyblue","2"="red"))

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