Ponderosa: A simulated forestry survey

In dereksonderegger/dsData: Datasets for Teaching

Description

This data is a simulation of a survey designed to estimate the average age of mature Ponderosa Pine trees. The idea is that 50 randomly selected 0.25 hectare plots are selected and all the mature trees in the plot are sampled for age (via tree cores).

Usage

Ponderosa

Format

A data frame with 227 rows and 2 variables:

Plot.ID

A variable denoting which Plot the observation came from

Age

Age of the observed tree.

Examples

data(Ponderosa)
library(ggplot2)

ggplot(Ponderosa, aes(x=Age)) +
  geom_histogram(aes(y=..density..)) +
  geom_density(color='red', size=2)
  
# calculate some summary statistics   
library(dplyr)
Ponderosa %>% group_by(Plot.ID) %>%
  summarize(mean = mean(Age),
             sd   = sd(Age))

dereksonderegger/dsData documentation built on Nov. 22, 2020, 5:15 p.m.