---
title: "ironwood project"
output: html_notebook
---

First lets assess the health of the population.

```{r}
# read a data frame from the ods document
df <- read_ods("../data/ironwood_data_cleaned.ods", sheet = 1)
# site base location
site_lat <- "-33.943917"
site_lon <- "23.507389"
# vector of condition names corresponding to the health index numbers
condition_names <- c("healthy", "light damage", 
                     "medium damage", "severe damage", 
                     "at point of death")
# colors for each condition
condition_colors <- c("green", "yellow", "orange", "red", "black")
# Calculate the percentage of trees in each health condition
percentage <- proportions(table(df$tree_health_index)) * 100
# Now, let's create the bar plot
barplot(percentage,
        names.arg = condition_names,
        main = "Overview of Tree Health Index",
        xlab = "Health Index",
        ylab = "Percentage of Trees",
        ylim = c(0, max(percentage) + 10),
        col = condition_colors,
        border = "black")
# Adding a legend
legend("topright",
       legend = condition_names, 
       fill = condition_colors)
# Add labels with the percentage of trees in each bar
text(x = barplot(percentage, plot = FALSE), 
     y = percentage, 
     labels = paste0(round(percentage, 1), "%"), 
     pos = 3)
```